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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. 3-RES-JB
    11. 15735
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    Explanations

    keywords that indicate file formatting or data manipulation instructions

    oai_token-act-pair · gpt-3.5-turbo

    references to data or file-related actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rish
    -0.79
    rams
    -0.78
    marks
    -0.77
    gie
    -0.76
    driver
    -0.74
    irs
    -0.73
    spot
    -0.72
    stones
    -0.72
    iture
    -0.72
    ti
    -0.71
    POSITIVE LOGITS
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    1.25
     Paste
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    RAW
    1.21
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    1.18
    rawdownloadcloneembedreportprint
    1.15
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    1.06
    Activations Density 0.013%

    No Known Activations