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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. 2-RES-JB
    11. 511
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    Explanations

    words describing physical discomfort or pain

    oai_token-act-pair · gpt-4-turbo

    words related to physical injuries and ailments

    oai_token-act-pair · gpt-3.5-turbo

    descriptive terms related to physical pain and injury

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aminer
    -0.85
    alez
    -0.75
    utenberg
    -0.75
    IBLE
    -0.73
    mercial
    -0.72
    odcast
    -0.72
    ossession
    -0.71
    onom
    -0.69
    ENTS
    -0.67
    orously
    -0.67
    POSITIVE LOGITS
     sore
    1.43
    ness
    0.80
     throats
    0.78
     loser
    0.76
    bean
    0.74
     tire
    0.72
     throat
    0.72
    burn
    0.70
     losers
    0.70
    beans
    0.69
    Activations Density 0.007%

    No Known Activations