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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. 3926
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    INDEX
    Explanations

    occurrences of the word "hundreds"

    oai_token-act-pair · gpt-3.5-turbo

    references to large quantities or numerical amounts

    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
    agate
    -0.61
     Situation
    -0.59
     hegemony
    -0.59
     Redemption
    -0.59
     pessim
    -0.56
    vice
    -0.56
     goodness
    -0.55
    igion
    -0.55
    actor
    -0.55
    inventoryQuantity
    -0.55
    POSITIVE LOGITS
    ourcing
    1.12
    paces
    1.08
    ourced
    0.96
     thousand
    0.91
    chool
    0.88
    entimes
    0.85
    chwitz
    0.85
     upon
    0.80
    poons
    0.79
     thousands
    0.79
    Activations Density 0.040%

    No Known Activations