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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. 6037
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    Explanations

    numerical values indicating performance metrics or statistics

    oai_token-act-pair · gpt-3.5-turbo

    numerical statistics and performance metrics

    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
    hran
    -0.87
    querque
    -0.79
    essen
    -0.76
    oulos
    -0.74
     neighb
    -0.74
    iband
    -0.74
     reluct
    -0.70
    aucuses
    -0.69
    antha
    -0.64
     warr
    -0.62
    POSITIVE LOGITS
     ILCS
    1.11
    mAh
    0.84
    naire
    0.83
     MHz
    0.83
    bps
    0.83
    MHz
    0.80
    ths
    0.78
    åĨ
    0.77
     SHARES
    0.76
    576
    0.73
    Activations Density 0.076%

    No Known Activations