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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. 11-RES-JB
    11. 5851
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    Explanations

    specific names of football teams and players

    oai_token-act-pair · gpt-3.5-turbo

    references to specific NFL teams and players

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cles
    -0.83
    ipl
    -0.81
    olas
    -0.79
    neau
    -0.78
    incial
    -0.77
    tml
    -0.77
    lly
    -0.73
    stro
    -0.70
    anamo
    -0.69
     Mayer
    -0.69
    POSITIVE LOGITS
     linebacker
    1.29
     cornerback
    1.28
     quarterback
    1.24
     linebackers
    1.23
     lineback
    1.21
     backfield
    1.19
     QB
    1.15
     quarterbacks
    1.14
     receiver
    1.11
     rusher
    1.08
    Activations Density 0.131%

    No Known Activations