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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. 9-RES-JB
    11. 13582
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    Explanations

    terms related to American football positions, specifically focusing on tight ends, running backs, and defensive ends

    oai_token-act-pair · gpt-3.5-turbo

    specific positions and roles in American football

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ombat
    -0.99
    pload
    -0.75
    izoph
    -0.74
     Humanity
    -0.72
    sth
    -0.72
    llah
    -0.69
    INESS
    -0.67
    urat
    -0.64
    heit
    -0.64
    DATA
    -0.64
    POSITIVE LOGITS
     extraord
    0.99
     coach
    0.96
     tandem
    0.91
     duo
    0.90
     corps
    0.86
     drafted
    0.85
     coaches
    0.82
     talent
    0.82
     position
    0.80
    /**
    0.77
    Activations Density 0.117%

    No Known Activations