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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. 11-RES-JB
    11. 21243
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    Explanations

    names related to criminal activities

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     eleph
    -0.88
    ccording
    -0.83
    Þ
    -0.83
     pione
    -0.78
     exting
    -0.77
    ò
    -0.74
    ô
    -0.73
    ñ
    -0.71
     earthqu
    -0.69
     practition
    -0.67
    POSITIVE LOGITS
    len
    0.91
    chuk
    0.90
    eson
    0.89
    rigan
    0.88
    enson
    0.86
    aney
    0.84
    inski
    0.81
    enez
    0.80
    ridge
    0.80
    terson
    0.80
    Activations Density 0.174%

    No Known Activations