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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. 10-RES-JB
    11. 16599
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    Explanations

    names of sports players or athletes

    oai_token-act-pair · gpt-3.5-turbo

    names of players and actions 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 @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Canaver
    -0.87
    netflix
    -0.86
     consultants
    -0.76
     Oprah
    -0.72
     Rowling
    -0.69
     vacations
    -0.68
    SOURCE
    -0.68
     Freem
    -0.66
     psychiatrists
    -0.65
    Documents
    -0.64
    POSITIVE LOGITS
     intercepted
    0.94
     punt
    0.92
     turnovers
    0.87
     stopp
    0.87
     stre
    0.86
     scoring
    0.86
     scored
    0.86
     goalkeeper
    0.84
     fumble
    0.83
     volley
    0.83
    Activations Density 0.117%

    No Known Activations