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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. 17375
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    INDEX
    Explanations

    numerical values and percentage mentions

    oai_token-act-pair · gpt-3.5-turbo

    numeric identifiers or statistics associated with a scoring or rating system

    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
    undai
    -0.83
    xual
    -0.77
    ean
    -0.73
    pressure
    -0.71
    yout
    -0.70
    byss
    -0.70
    event
    -0.68
    heny
    -0.66
    ĸļ
    -0.66
    eed
    -0.65
    POSITIVE LOGITS
    asted
    0.93
    00
    0.88
     ILCS
    0.82
    dfx
    0.79
    _.
    0.79
    %-
    0.78
    OTAL
    0.77
     Minutes
    0.75
    ature
    0.74
    asts
    0.74
    Activations Density 0.026%

    No Known Activations