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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
    11. 4964
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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
    Not in Any Lists

    No Comments

    Negative Logits
    itude
    -0.84
    awaru
    -0.83
    retched
    -0.78
    itches
    -0.78
    ublic
    -0.74
    eway
    -0.73
    kins
    -0.72
    ests
    -0.69
    ér
    -0.69
    rolet
    -0.68
    POSITIVE LOGITS
    icle
    1.45
    icles
    1.26
    moon
    0.72
    pool
    0.70
    glass
    0.70
     vomit
    0.69
    llor
    0.69
    cens
    0.68
    hog
    0.68
    Moon
    0.67
    Activations Density 0.010%

    No Known Activations