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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. 7773
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    the end of the 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
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    No Comments

    Negative Logits
     polyg
    -0.75
     shroud
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     initials
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     blah
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     wool
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     thereto
    -0.68
     sanctuary
    -0.67
     AMERICA
    -0.65
     deed
    -0.65
     ".
    -0.64
    POSITIVE LOGITS
    roximately
    1.18
    resa
    1.13
    asionally
    1.04
    iction
    1.03
    vertising
    1.01
    withstanding
    1.00
    xiety
    1.00
    reprene
    1.00
    rary
    1.00
    inarily
    0.98
    Activations Density 0.231%

    No Known Activations