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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. 7-RES-JB
    11. 21405
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    Explanations

    mentions of football games

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific games in the context of sports events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aft
    -0.75
    asma
    -0.65
     manif
    -0.64
    xon
    -0.63
    yg
    -0.60
    obook
    -0.60
    cul
    -0.58
     Colour
    -0.57
    attery
    -0.57
    achev
    -0.57
    POSITIVE LOGITS
    keepers
    0.96
    keeper
    0.94
    PLAY
    0.81
    plan
    0.80
    wright
    0.80
    ghazi
    0.80
    play
    0.78
     opener
    0.77
    plays
    0.77
    cock
    0.76
    Activations Density 0.062%

    No Known Activations