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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. 7721
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    Explanations

    numerical scores or ratings

    oai_token-act-pair · gpt-3.5-turbo

    mentions of scoring or scores, particularly in contexts related to performance or evaluation

    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
    xon
    -0.73
    ĸļ
    -0.71
     compulsion
    -0.60
     Wonderland
    -0.58
    UAL
    -0.58
    pora
    -0.58
    LECT
    -0.58
    PATH
    -0.58
     Workers
    -0.58
     suitcase
    -0.58
    POSITIVE LOGITS
    card
    1.24
    cards
    1.12
    ific
    1.00
    emi
    0.86
    heet
    0.84
    ifications
    0.84
    keeper
    0.84
    iculty
    0.83
    anches
    0.82
    ient
    0.81
    Activations Density 0.027%

    No Known Activations