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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. 16256
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    Explanations

    code or technical information embedded within the text

    oai_token-act-pair · gpt-3.5-turbo

    numerical values, particularly focusing on statistics and identifiers

    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
    atics
    -0.82
    usalem
    -0.82
    assies
    -0.77
    ewitness
    -0.76
     externalToEVAOnly
    -0.75
    undai
    -0.74
    bered
    -0.74
    redit
    -0.71
    odied
    -0.70
    attled
    -0.69
    POSITIVE LOGITS
    st
    1.11
    EngineDebug
    0.81
    507
    0.80
    504
    0.79
    naire
    0.78
    506
    0.76
    503
    0.75
    505
    0.74
    âģ
    0.73
    50
    0.72
    Activations Density 0.039%

    No Known Activations