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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
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    INDEX
    Explanations

    mentions of adequacy or insufficiency in different contexts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to adequacy and sufficiency

    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
    da
    -0.73
    emb
    -0.71
    bec
    -0.70
    fires
    -0.70
    cig
    -0.70
    uay
    -0.69
    spe
    -0.69
    cott
    -0.69
    hov
    -0.68
    gob
    -0.67
    POSITIVE LOGITS
     quantities
    0.97
     amounts
    0.95
     amount
    0.89
     safeguards
    0.85
     capacity
    0.81
     adequate
    0.80
     allowance
    0.78
     assurance
    0.76
     quantity
    0.76
     timeframe
    0.75
    Activations Density 0.033%

    No Known Activations