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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
    11. 5532
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    Explanations

    mentions of the name "Garner."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    references to specific people or characters

    oai_token-act-pair · gpt-3.5-turbo
    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
    pmwiki
    -0.81
    ovie
    -0.77
    netic
    -0.71
    ownt
    -0.71
    onyms
    -0.69
    isc
    -0.69
    ontent
    -0.68
    farious
    -0.68
    ename
    -0.66
    nown
    -0.66
    POSITIVE LOGITS
     Garner
    0.96
    rieve
    0.73
     whiff
    0.72
     Beng
    0.70
    row
    0.67
    halla
    0.67
     bowls
    0.65
    ributed
    0.65
    ENCY
    0.64
    weet
    0.63
    Activations Density 0.021%

    No Known Activations