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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. 15916
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    Explanations

    references to individuals or teams involved in scouting activities, such as scouting reports, talent scouting, and scouting for locations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to scouting in sports, particularly 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
    death
    -0.77
    nces
    -0.74
    uctor
    -0.72
    pour
    -0.71
     Pyr
    -0.70
    ahime
    -0.70
     Granger
    -0.66
    teness
    -0.64
    idences
    -0.64
    staking
    -0.63
    POSITIVE LOGITS
     scouts
    1.07
     scout
    1.05
     Scouting
    0.98
     scouting
    0.95
     Scouts
    0.87
    ota
    0.84
     Scout
    0.79
    sonian
    0.75
    onomy
    0.75
    pec
    0.73
    Activations Density 0.012%

    No Known Activations