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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. 0-RES-JB
    11. 16703
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    Explanations

    words related to strategies or tactics in sports

    oai_token-act-pair · gpt-3.5-turbo

    words related to sound or audibility

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    XX
    -0.73
    ritch
    -0.69
     XX
    -0.68
    atten
    -0.67
     Ya
    -0.65
    riage
    -0.64
    ATA
    -0.64
    ellen
    -0.64
    RAFT
    -0.63
    MW
    -0.63
    POSITIVE LOGITS
    wcsstore
    0.78
    Redditor
    0.76
     Trin
    0.70
    catentry
    0.68
    ----------------------------------------------------------------
    0.66
     IMAGES
    0.66
     behav
    0.64
     appre
    0.64
     footballer
    0.63
    wine
    0.63
    Activations Density 0.000%

    No Known Activations