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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. 3707
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    Explanations

    references to folklore or folk-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to folk culture

    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
    ackers
    -0.67
    xus
    -0.67
     funnel
    -0.66
     Hilton
    -0.64
    Effective
    -0.63
     Strategic
    -0.61
     ABE
    -0.61
    RR
    -0.60
     Rack
    -0.59
     barrel
    -0.59
    POSITIVE LOGITS
    tale
    1.47
    lore
    1.40
    lor
    1.20
     tales
    1.03
    ways
    0.95
    stones
    0.93
    estone
    0.90
    mere
    0.88
    bread
    0.88
    song
    0.88
    Activations Density 0.067%

    No Known Activations