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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 11-RES-JB
    11. 9198
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    Explanations

    phrases indicating actions or steps needed to achieve a goal

    oai_token-act-pair · gpt-3.5-turbo

    instances of sequential lists or items introduced by commas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    til
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    ergy
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    ãĤ´ãĥ³
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    conom
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    hed
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    Advertisements
    -0.59
    MpServer
    -0.58
    drm
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    gotten
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    iatus
    -0.56
    POSITIVE LOGITS
     however
    0.90
    must
    0.85
     preferably
    0.82
     you
    0.82
    Firstly
    0.82
     Firstly
    0.80
     requires
    0.78
     please
    0.78
     we
    0.77
     applicants
    0.75
    Activations Density 0.108%

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