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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. 1-RES-JB
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    Explanations

    names of individuals and locations

    oai_token-act-pair · gpt-3.5-turbo

    names and titles of individuals and places

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    sten
    -0.87
    upiter
    -0.82
    ileaks
    -0.79
     reluct
    -0.74
    umbered
    -0.73
    umbers
    -0.73
    shit
    -0.72
     fraternity
    -0.72
    teenth
    -0.72
    umping
    -0.71
    POSITIVE LOGITS
     Bland
    0.80
     MSG
    0.78
     Sina
    0.76
     Flav
    0.75
     Garden
    0.73
     Maduro
    0.73
     Castro
    0.73
     Farm
    0.72
     Webster
    0.72
     Taste
    0.71
    Activations Density 0.031%

    No Known Activations