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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. 8614
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    INDEX
    Explanations

    statements made by people

    oai_token-act-pair · gpt-3.5-turbo

    instances of reported speech or statements made by individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    berus
    -0.71
    pend
    -0.66
    azines
    -0.61
    anges
    -0.60
    anuts
    -0.58
    cession
    -0.58
    ective
    -0.58
     conflic
    -0.58
    Fit
    -0.57
    phia
    -0.56
    POSITIVE LOGITS
     sarcast
    1.17
     rhet
    1.07
     bluntly
    1.04
     onstage
    1.03
     emphatically
    0.97
     during
    0.96
     afterward
    0.88
     passionately
    0.84
     forcefully
    0.83
     aloud
    0.83
    Activations Density 0.132%

    No Known Activations