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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. 17285
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    Explanations

    mentions of specific plans, potentially related to government decisions or strategic proposals

    oai_token-act-pair · gpt-3.5-turbo

    mentions of plans or strategies

    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
    avery
    -0.67
     ILCS
    -0.66
    anny
    -0.65
    ruciating
    -0.65
     Stain
    -0.64
    hammad
    -0.62
    Chance
    -0.61
    ibaba
    -0.61
    aniel
    -0.60
    ingers
    -0.60
    POSITIVE LOGITS
    isphere
    0.93
    emaker
    0.84
    ters
    0.81
     2030
    0.78
     plans
    0.75
     blueprint
    0.72
    escape
    0.70
     hatched
    0.70
     outline
    0.70
    paren
    0.69
    Activations Density 0.038%

    No Known Activations