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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. 9040
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    Explanations

    references to academic fields or cultural institutions, particularly those related to the arts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "arts" and related terms

    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
    •Art-related Features

    No Comments

    Negative Logits
    ishable
    -0.68
    utable
    -0.67
    odder
    -0.66
     Hurricanes
    -0.66
     Turing
    -0.65
    ishers
    -0.65
     Happiness
    -0.63
    plates
    -0.63
     Stur
    -0.63
     Adin
    -0.63
    POSITIVE LOGITS
    manship
    1.26
    cape
    1.09
    esian
    1.03
    pace
    0.95
    chool
    0.85
    hips
    0.85
    ystem
    0.79
    alon
    0.79
    akh
    0.77
    women
    0.77
    Activations Density 0.045%

    No Known Activations