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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. 13492
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    Explanations

    words related to conditions or requirements

    oai_token-act-pair · gpt-3.5-turbo

    terms related to conditions or states that precede or express uncertainty

    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

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    Negative Logits
    Reviewer
    -0.86
    lift
    -0.80
    loo
    -0.73
    bill
    -0.72
    owship
    -0.70
     fronts
    -0.70
    æѦ
    -0.70
    ictionary
    -0.68
     Archdemon
    -0.67
    ãĥ´
    -0.67
    POSITIVE LOGITS
    ocious
    1.17
    ognitive
    0.95
    ursor
    0.94
    ordial
    0.90
    ursed
    0.88
     prec
    0.87
    aching
    0.87
    urs
    0.86
    autions
    0.85
    urity
    0.83
    Activations Density 0.026%

    No Known Activations