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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. 8-RES-JB
    11. 6973
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    Explanations

    mentions of American football teams, specifically the Green Bay Packers

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Green Bay Packers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nces
    -0.80
    orically
    -0.76
    Downloadha
    -0.70
    gerald
    -0.69
    Reloaded
    -0.66
    ymes
    -0.65
    ysis
    -0.64
     MPG
    -0.64
    umbn
    -0.63
    oldemort
    -0.62
    POSITIVE LOGITS
    grass
    1.17
    leaf
    1.03
    wich
    1.03
    baum
    1.02
    lit
    0.93
    stuff
    0.93
    field
    0.92
     Lantern
    0.92
    peace
    0.91
    house
    0.91
    Activations Density 0.037%

    No Known Activations