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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. 3-RES-JB
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    Explanations

    positions in American football

    oai_token-act-pair · gpt-3.5-turbo

    terms related to American football positions, particularly focusing on cornerbacks and safeties

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    axis
    -0.85
    sth
    -0.77
     Orwell
    -0.75
    apest
    -0.74
    ename
    -0.73
    rust
    -0.73
    ingu
    -0.72
    ossier
    -0.72
    ora
    -0.71
    aste
    -0.71
    POSITIVE LOGITS
     cornerback
    1.04
     linebacker
    0.92
     linebackers
    0.88
     waivers
    0.79
     outfielder
    0.79
     infield
    0.76
     outfield
    0.73
     PAC
    0.73
     Antonio
    0.72
    backs
    0.72
    Activations Density 0.024%

    No Known Activations