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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. 375
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    Explanations

    phrases related to sports, particularly those involving handling or passing a ball

    oai_token-act-pair · gpt-3.5-turbo

    references to a ball or puck in a sports context

    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
     Borders
    -0.74
     Beef
    -0.72
     Flavoring
    -0.72
     Restaur
    -0.72
    Scient
    -0.72
     Canaver
    -0.70
     Neighborhood
    -0.69
     Barcl
    -0.69
     Municip
    -0.66
     Rohing
    -0.66
    POSITIVE LOGITS
    handler
    1.16
     handler
    0.85
    hand
    0.85
     carrier
    0.83
    players
    0.81
    pit
    0.81
    load
    0.80
    ographs
    0.79
    game
    0.79
    hook
    0.78
    Activations Density 0.033%

    No Known Activations