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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. 4-RES-JB
    11. 3981
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    Explanations

    phrases related to American football offensive and defensive lines

    oai_token-act-pair · gpt-3.5-turbo

    terminology related to offensive and defensive linemen in football

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

    No Comments

    Negative Logits
    urat
    -0.76
     newsp
    -0.74
     annexed
    -0.65
    akespe
    -0.64
     Seym
    -0.64
    cit
    -0.63
     hover
    -0.63
     renters
    -0.61
     independ
    -0.61
    erd
    -0.60
    POSITIVE LOGITS
    backer
    0.88
    tackle
    0.80
     lineman
    0.78
     coach
    0.72
     Trey
    0.72
     linemen
    0.72
     Titans
    0.71
     Franch
    0.68
    olor
    0.67
     linebacker
    0.67
    Activations Density 0.031%

    No Known Activations