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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. 7-RES-JB
    11. 14466
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to figures in a document

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rack
    -0.69
    ãĥĨãĤ£
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    esthetic
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    ngth
    -0.65
    ISS
    -0.63
     Sussex
    -0.63
    umenthal
    -0.63
     regist
    -0.63
     Sov
    -0.62
    OUN
    -0.62
    POSITIVE LOGITS
    ures
    0.98
    uration
    0.96
    ured
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    uring
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    aro
    0.89
    ¶æ
    0.85
    urations
    0.83
    gy
    0.81
    Ī
    0.80
    Fig
    0.79
    Activations Density 0.030%

    No Known Activations