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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. 0-RES-JB
    11. 13920
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    Explanations

    numbers with a specific pattern or format

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the token "sp"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Browne
    -0.70
    oglu
    -0.67
     Allison
    -0.66
     Yan
    -0.64
     clinch
    -0.64
     Ryder
    -0.63
     differentiated
    -0.62
     Rahman
    -0.61
    ossession
    -0.61
     LIN
    -0.60
    POSITIVE LOGITS
    sp
    4.04
    Sp
    2.04
    spe
    1.77
    SP
    1.69
    spin
    1.61
     Sp
    1.53
    sw
    1.53
    sm
    1.52
    sc
    1.49
    space
    1.47
    Activations Density 0.009%

    No Known Activations