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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. 17063
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    Explanations

    phrases indicating emphasis or importance

    oai_token-act-pair · gpt-3.5-turbo

    expressions indicating subjective opinions or statements

    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
     Flavoring
    -0.88
     ABV
    -0.68
    20439
    -0.67
    ickets
    -0.67
    merce
    -0.67
     Pwr
    -0.66
     Sultan
    -0.63
     Tik
    -0.63
    racuse
    -0.62
     Zup
    -0.61
    POSITIVE LOGITS
    âĶĢâĶĢâĶĢâĶĢ
    0.71
    ????
    0.67
     metaph
    0.66
    ????????
    0.64
    mma
    0.62
    ?!
    0.61
    plet
    0.61
    arre
    0.60
    chron
    0.60
    !?
    0.58
    Activations Density 1.011%

    No Known Activations