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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. 4-RES-JB
    11. 14308
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    questions

    oai_token-act-pair · gpt-3.5-turbo

    questions that seek clarification or further information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aku
    -0.76
     binge
    -0.75
     encount
    -0.74
    rek
    -0.73
    onde
    -0.70
     reinstated
    -0.69
    neau
    -0.68
     soaked
    -0.68
    ront
    -0.67
    ishable
    -0.67
    POSITIVE LOGITS
     Well
    1.03
     Surely
    0.98
    ?:
    0.97
    .?
    0.97
     Why
    0.96
     Anyway
    0.95
     Probably
    0.93
     Where
    0.92
     What
    0.91
     Compare
    0.90
    Activations Density 0.100%

    No Known Activations