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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. 3735
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    Explanations

    phrases related to various Hall of Fame institutions

    oai_token-act-pair · gpt-3.5-turbo

    references to sports Hall of Fame inductions and members

    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
    alam
    -0.82
    resp
    -0.73
    selves
    -0.72
    Agg
    -0.70
    cos
    -0.68
    pd
    -0.67
    weeney
    -0.65
    morning
    -0.64
    abal
    -0.64
    owicz
    -0.63
    POSITIVE LOGITS
     Fame
    1.07
     induction
    1.05
     induct
    0.94
     ceremony
    0.90
     honors
    0.88
     honored
    0.87
     Trophy
    0.85
     plaque
    0.85
     enshr
    0.84
     Awards
    0.83
    Activations Density 0.027%

    No Known Activations