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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. 7-RES-JB
    11. 10021
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    articles and references to processes or steps in a technical or instructional context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    America
    -0.77
    AIDS
    -0.75
     gays
    -0.74
     apes
    -0.74
    Americans
    -0.73
     homosexuals
    -0.72
    iments
    -0.71
    African
    -0.69
    achu
    -0.69
     abortions
    -0.69
    POSITIVE LOGITS
     lot
    1.14
     bunch
    1.08
     few
    1.02
     plethora
    1.00
     couple
    0.97
     multitude
    0.97
     separate
    0.96
     specific
    0.95
     variety
    0.94
     handful
    0.93
    Activations Density 0.514%

    No Known Activations