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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. 9-RES-JB
    11. 23714
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    Explanations

    words related to hygiene and medical conditions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to hygiene and health conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hement
    -0.74
    CBC
    -0.63
    ADRA
    -0.61
    Broad
    -0.60
    tions
    -0.59
    PLA
    -0.59
     subsequ
    -0.58
    Ò
    -0.58
    nces
    -0.55
    ":[{"
    -0.55
    POSITIVE LOGITS
    ulic
    0.88
    roth
    0.77
    emic
    0.70
    opter
    0.68
    igon
    0.67
    nee
    0.64
    amic
    0.64
    ctic
    0.64
    vous
    0.63
    uating
    0.63
    Activations Density 0.120%

    No Known Activations