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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. 3-RES-JB
    11. 6028
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    INDEX
    Explanations

    instances where a specific quantity or amount is mentioned

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing quantities or amounts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ħĭ
    -0.78
    nets
    -0.75
    Ń·
    -0.70
    boxing
    -0.69
    jad
    -0.68
    reys
    -0.67
    aired
    -0.66
    omers
    -0.65
    ilst
    -0.65
    reddits
    -0.64
    POSITIVE LOGITS
     fines
    0.77
     energy
    0.72
     damage
    0.70
     bodily
    0.70
     accumulated
    0.69
     goods
    0.69
     damages
    0.68
     interest
    0.66
     maturity
    0.65
    inventoryQuantity
    0.65
    Activations Density 0.223%

    No Known Activations