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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

    terms related to physical injuries, particularly bruises

    oai_token-act-pair · gpt-3.5-turbo

    references to physical injuries and bruising

    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
    erman
    -0.83
    acle
    -0.79
    ucl
    -0.78
    gent
    -0.77
    hal
    -0.77
    rer
    -0.76
    omo
    -0.75
    erm
    -0.74
    uned
    -0.73
    odes
    -0.73
    POSITIVE LOGITS
     bruises
    0.97
    Ô
    0.87
     Weasley
    0.86
    Downloadha
    0.79
     bruising
    0.79
    æł
    0.77
    ãĥīãĥ©ãĤ´ãĥ³
    0.76
     GOODMAN
    0.75
    xual
    0.73
    illac
    0.72
    Activations Density 0.030%

    No Known Activations