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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. 6-RES-JB
    11. 16962
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    Explanations

    references to different sports teams, games, and activities

    oai_token-act-pair · gpt-3.5-turbo

    references to sports teams and leagues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ciating
    -0.77
    ctive
    -0.74
    hered
    -0.68
    ollar
    -0.65
    ij士
    -0.63
    ilibrium
    -0.62
    quickShipAvailable
    -0.62
    rite
    -0.62
    ħĭ
    -0.62
    OIL
    -0.61
    POSITIVE LOGITS
     Tycoon
    0.84
    adesh
    0.73
     Franch
    0.72
    enegger
    0.71
     Bett
    0.70
    ardi
    0.68
     Recre
    0.67
    ichick
    0.67
     trout
    0.66
    liner
    0.65
    Activations Density 0.324%

    No Known Activations