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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
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    Explanations

    mentions of a specific sports team, the Panthers

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a specific sports team, particularly the Panthers

    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
    react
    -0.82
    iannopoulos
    -0.77
    step
    -0.70
    bub
    -0.69
    bread
    -0.68
    bridge
    -0.67
    dds
    -0.67
    uggle
    -0.67
    uania
    -0.67
    glers
    -0.67
    POSITIVE LOGITS
     Hurricanes
    1.10
     Panthers
    0.94
    olina
    0.94
     Panther
    0.90
    izational
    0.80
     Papers
    0.75
    ucci
    0.69
    sburgh
    0.65
     Coliseum
    0.64
     Nost
    0.63
    Activations Density 0.029%

    No Known Activations