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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. 11-RES-JB
    11. 9100
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    Explanations

    number ranges expressed with hyphens

    oai_token-act-pair · gpt-3.5-turbo

    references to quantities or measurements related to the number three

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Hick
    -0.70
     Pep
    -0.67
    Reloaded
    -0.63
     Moss
    -0.60
     Blanc
    -0.60
     Ness
    -0.59
     Reloaded
    -0.59
     Cecil
    -0.57
     homophobia
    -0.57
     Haf
    -0.57
    POSITIVE LOGITS
    quarters
    1.65
    dimensional
    1.60
    peat
    1.35
    fif
    1.33
    legged
    1.30
    quarter
    1.30
    pointers
    1.29
    dimension
    1.26
    pointer
    1.26
    star
    1.21
    Activations Density 0.049%

    No Known Activations