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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. 5896
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    INDEX
    Explanations

    items or products mentioned in the text, likely related to transactions or commerce

    oai_token-act-pair · gpt-3.5-turbo

    frequent mentions of the word "item."

    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
    hip
    -1.25
    paces
    -1.23
    hips
    -1.19
    creen
    -1.19
    cale
    -1.18
    ettings
    -1.14
    pace
    -1.12
    hirt
    -1.08
    chool
    -1.07
    hops
    -1.04
    POSITIVE LOGITS
    INAL
    0.80
    less
    0.77
    code
    0.69
    wise
    0.69
    ization
    0.68
    icity
    0.68
    maker
    0.67
    iasis
    0.65
    izations
    0.65
    osal
    0.63
    Activations Density 0.108%

    No Known Activations