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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. 10-RES-JB
    11. 8369
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    INDEX
    Explanations

    numerical values related to specific dates or ages

    oai_token-act-pair · gpt-3.5-turbo

    references to numerical data and statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enhagen
    -0.75
    ruary
    -0.71
    rences
    -0.68
    furt
    -0.68
    sheet
    -0.68
    glers
    -0.67
    rency
    -0.67
    ngth
    -0.64
    bilt
    -0.63
    lees
    -0.63
    POSITIVE LOGITS
     Parish
    0.83
    itri
    0.70
    atari
    0.68
     Tome
    0.66
    opoulos
    0.66
     Pharmaceutical
    0.61
    aga
    0.60
     Pwr
    0.59
     Rao
    0.58
     Meditation
    0.58
    Activations Density 0.245%

    No Known Activations