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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. 6-RES-JB
    11. 10648
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    Explanations

    text related to sports team statistics and matchups

    oai_token-act-pair · gpt-3.5-turbo

    numerical statistics or scores related to sports events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arya
    -0.84
    agna
    -0.73
    seys
    -0.66
    orks
    -0.66
    ilial
    -0.64
    objects
    -0.64
    assies
    -0.64
    don
    -0.63
    paralle
    -0.63
    saf
    -0.63
    POSITIVE LOGITS
     overtime
    0.92
     undefeated
    0.79
     mph
    0.76
     underdog
    0.73
     unbeaten
    0.70
     (.
    0.68
    ãĤ´ãĥ³
    0.68
     Indianapolis
    0.68
     record
    0.67
     overall
    0.66
    Activations Density 0.037%

    No Known Activations