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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

    phrases related to legal cases involving specific names like "Manafort" and "Lewandowski."

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals involved in political contexts

    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
    RAL
    -0.75
    RD
    -0.73
    CAST
    -0.73
    ALE
    -0.73
     à¨
    -0.71
    FER
    -0.70
    ential
    -0.68
    URI
    -0.68
    NESS
    -0.67
    enced
    -0.66
    POSITIVE LOGITS
    afort
    1.18
     Manafort
    1.00
    uchin
    0.85
    iola
    0.79
    hattan
    0.76
    agements
    0.75
     aide
    0.75
    umenthal
    0.75
    ossier
    0.72
     indicted
    0.72
    Activations Density 0.007%

    No Known Activations