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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
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    Explanations

    names of individuals related to legal or criminal activities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals, particularly those with the last names Lopez and Perez

    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
    fare
    -0.96
    ership
    -0.80
    liest
    -0.79
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    -0.77
    ths
    -0.76
    ERAL
    -0.72
    riors
    -0.72
    orial
    -0.71
    inent
    -0.70
    é£
    -0.70
    POSITIVE LOGITS
    irez
    0.98
     Perez
    0.88
     Rivera
    0.84
     Diaz
    0.78
     Hernandez
    0.77
     Garcia
    0.77
    omez
    0.74
     Gutierrez
    0.73
     Ortiz
    0.73
     Gonzalez
    0.72
    Activations Density 0.089%

    No Known Activations