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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. 15842
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    Explanations

    references to the name "Fle"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Flea" and variations of it

    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
    raint
    -0.72
    LESS
    -0.71
    DOWN
    -0.70
     Hussein
    -0.67
    Demand
    -0.65
    lain
    -0.64
     Patriarch
    -0.61
     compound
    -0.61
    raints
    -0.60
    quickShipAvailable
    -0.60
    POSITIVE LOGITS
    fle
    1.02
    uve
    0.96
    llo
    0.91
     Fle
    0.84
    erie
    0.84
    urus
    0.83
    bes
    0.83
    lean
    0.77
    xp
    0.77
    ischer
    0.76
    Activations Density 0.014%

    No Known Activations