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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. 17457
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    Explanations

    specific phrases related to a gaming competition

    oai_token-act-pair · gpt-3.5-turbo

    lists or enumerations separated by commas

    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
    interstitial
    -0.75
     Logged
    -0.68
    Sov
    -0.63
    agine
    -0.62
    iku
    -0.62
    NetMessage
    -0.61
    entimes
    -0.61
     detectors
    -0.61
     recip
    -0.60
    conom
    -0.60
    POSITIVE LOGITS
     huh
    0.85
     ISBN
    0.77
     LLC
    0.76
     please
    0.75
     etc
    0.75
    ãĤ¡
    0.73
    048
    0.71
    032
    0.71
     eh
    0.70
     supra
    0.69
    Activations Density 0.336%

    No Known Activations