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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. 1904
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    INDEX
    Explanations

    statistical information like numbers and figures

    oai_token-act-pair · gpt-3.5-turbo

    numerical statistics related to sports performance

    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
    abal
    -0.75
    yip
    -0.68
     magnets
    -0.66
    hod
    -0.66
    actionDate
    -0.63
    atom
    -0.63
    ALSE
    -0.62
    izoph
    -0.62
     PowerPoint
    -0.61
     amph
    -0.61
    POSITIVE LOGITS
     offensively
    0.75
     averaging
    0.74
     Rookie
    0.73
    ãĥĺ
    0.68
    essen
    0.67
     batting
    0.67
    Stats
    0.66
     homers
    0.65
     coupled
    0.63
     destro
    0.62
    Activations Density 0.171%

    No Known Activations