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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. 8-RES-JB
    11. 1775
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    Explanations

    phrases describing individuals with specific qualities or attributes

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals in connection with specific characteristics or situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    press
    -0.66
    Fed
    -0.66
    EMBER
    -0.60
    stress
    -0.60
     afterward
    -0.59
    print
    -0.58
     advertisement
    -0.57
    henko
    -0.57
     Supplement
    -0.57
    RP
    -0.57
    POSITIVE LOGITS
    stood
    1.56
     whom
    1.30
     disabilities
    1.29
    standing
    1.12
    drawn
    1.07
     regard
    1.04
     regards
    1.02
    held
    1.01
     impunity
    1.01
    holding
    0.96
    Activations Density 0.110%

    No Known Activations