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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. 4178
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    Explanations

    references to coaching positions with specific locations and years

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of coaching roles and associated positions in sports contexts

    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
     leaflets
    -0.77
    ndum
    -0.76
    oola
    -0.70
     condol
    -0.68
    conscious
    -0.67
    orders
    -0.66
    morning
    -0.66
    crypt
    -0.66
    cases
    -0.66
    cause
    -0.65
    POSITIVE LOGITS
     coached
    1.35
     coaching
    1.29
     Franch
    1.24
     stint
    1.08
     quarterbacks
    1.08
     coach
    1.05
     Harbaugh
    1.04
     Coach
    1.03
     ESPN
    1.02
     NCAA
    1.02
    Activations Density 0.448%

    No Known Activations