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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. 10-RES-JB
    11. 8361
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    Explanations

    phrases describing various groups of people or specific characteristics about them

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Plans
    -0.63
     dealings
    -0.60
     unresolved
    -0.60
     Strauss
    -0.57
     Events
    -0.56
     intending
    -0.56
     incorrectly
    -0.56
    eworks
    -0.55
     Attorney
    -0.55
     negotiations
    -0.55
    POSITIVE LOGITS
    unts
    1.04
    uras
    1.03
     subset
    1.02
     dime
    0.96
     bunch
    0.95
     rarity
    0.94
    gh
    0.91
    ctors
    0.88
    rouse
    0.87
     nuisance
    0.85
    Activations Density 0.123%

    No Known Activations