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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. 9-RES-JB
    11. 17169
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    Explanations

    numbers or numerical patterns

    oai_token-act-pair · gpt-3.5-turbo

    numeric values representing data points, particularly in the context of statistics or measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    abolic
    -0.76
    ques
    -0.73
    abol
    -0.71
    atories
    -0.70
    her
    -0.69
    eers
    -0.68
    forces
    -0.68
    zag
    -0.67
    hers
    -0.66
    Dream
    -0.65
    POSITIVE LOGITS
     ILCS
    0.85
    s
    0.83
    hz
    0.73
    abies
    0.72
    Hz
    0.71
    mAh
    0.71
     partName
    0.71
    adeon
    0.69
     unden
    0.65
    NetMessage
    0.65
    Activations Density 0.180%

    No Known Activations