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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. 23229
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    Explanations

    phrases indicating priority or importance

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "first and foremost."

    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
    xual
    -0.77
    weeney
    -0.73
    ibly
    -0.71
    ÃĽ
    -0.71
    ysical
    -0.70
    hov
    -0.69
    yy
    -0.68
    ibl
    -0.67
    mania
    -0.66
    iph
    -0.66
    POSITIVE LOGITS
     foremost
    2.08
     second
    1.05
     secondly
    1.00
    second
    0.93
     easiest
    0.89
     brightest
    0.88
     simplest
    0.86
     third
    0.83
     greatest
    0.82
    rogen
    0.81
    Activations Density 0.037%

    No Known Activations