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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. 7-RES-JB
    11. 17266
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    Explanations

    percentages and statistical data related to various topics

    oai_token-act-pair · gpt-3.5-turbo

    percentage-based statistics or numerical data related to various topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     fame
    -0.61
     smash
    -0.61
    DragonMagazine
    -0.59
     bulletin
    -0.59
    eering
    -0.58
     slap
    -0.58
    ffen
    -0.56
     politics
    -0.56
    assetsadobe
    -0.56
    acl
    -0.55
    POSITIVE LOGITS
    ulia
    0.91
    anooga
    0.88
     teasp
    0.87
    fif
    0.85
    fort
    0.82
    ½
    0.79
    thirds
    0.78
    bery
    0.77
    thur
    0.76
    ilion
    0.75
    Activations Density 0.239%

    No Known Activations