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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. 3-RES-JB
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    Explanations

    words related to the Trayvon Martin case

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Trayvon Martin and George Zimmerman

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    FU
    -0.74
    HCR
    -0.70
    Brain
    -0.70
    ION
    -0.69
    KEY
    -0.69
    sector
    -0.69
    KY
    -0.67
    Else
    -0.67
    å§
    -0.66
    TOR
    -0.66
    POSITIVE LOGITS
     Zimmerman
    1.00
     Trayvon
    0.84
     Bland
    0.75
     Martin
    0.73
     Dunn
    0.73
     Roof
    0.72
    ufact
    0.71
     Luther
    0.70
     Sanford
    0.67
     Staten
    0.66
    Activations Density 0.011%

    No Known Activations