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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. 8-RES-JB
    11. 8065
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    INDEX
    Explanations

    decisive statements or actions related to making choices

    oai_token-act-pair · gpt-3.5-turbo

    questions and considerations related to decision-making processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    amon
    -0.76
    antine
    -0.75
    mr
    -0.71
    ĸļ
    -0.71
    wild
    -0.68
    creator
    -0.67
    mouth
    -0.67
    riott
    -0.67
    avid
    -0.64
    former
    -0.63
    POSITIVE LOGITS
     appropriate
    0.93
     allowable
    0.91
     suitable
    0.85
     acceptable
    0.80
     priorities
    0.80
     appropri
    0.79
     bets
    0.77
     wisely
    0.77
     qualifies
    0.76
     desired
    0.75
    Activations Density 0.270%

    No Known Activations