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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. 7-RES-JB
    11. 5046
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    Explanations

    words related to societal issues or concepts

    oai_token-act-pair · gpt-3.5-turbo

    references to societal issues and structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    urations
    -0.83
    ruction
    -0.76
    Pad
    -0.72
    rav
    -0.70
    etsk
    -0.69
    word
    -0.69
    iverse
    -0.68
    orney
    -0.66
    ifer
    -0.65
    ocular
    -0.65
    POSITIVE LOGITS
    wide
    1.10
    folk
    0.82
    liness
    0.79
    ically
    0.78
    geist
    0.75
     norms
    0.74
     democr
    0.72
     minded
    0.70
     revolves
    0.70
     evolves
    0.69
    Activations Density 0.024%

    No Known Activations