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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. 4-RES-JB
    11. 13635
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    Explanations

    names or terms related to "Lem" or "Harlem."

    oai_token-act-pair · gpt-3.5-turbo

    specific names and terms related to film and entertainment industries

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

    No Comments

    Negative Logits
    hift
    -0.71
    gerald
    -0.70
     caution
    -0.70
     scant
    -0.64
     sudden
    -0.61
    stood
    -0.60
     rake
    -0.59
     Hawaiian
    -0.59
    MODE
    -0.58
     whirlwind
    -0.58
    POSITIVE LOGITS
    agne
    1.20
    selves
    1.05
    obile
    1.01
    ason
    1.01
    useum
    0.98
    pel
    0.96
    otor
    0.95
    aterial
    0.95
    mand
    0.93
    obiles
    0.92
    Activations Density 0.010%

    No Known Activations