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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. 2-RES-JB
    11. 8076
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    INDEX
    Explanations

    references to proper nouns and specific terms mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to advocacy and societal issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etheless
    -0.82
    */(
    -0.79
    cedes
    -0.78
    istically
    -0.76
    pez
    -0.71
    theless
    -0.71
     ende
    -0.70
    itially
    -0.70
    istration
    -0.69
    ighting
    -0.69
    POSITIVE LOGITS
     Zone
    0.92
    Stream
    0.88
     Shack
    0.87
     Factor
    0.86
     Mile
    0.86
     Room
    0.85
    finger
    0.84
     Ago
    0.84
     Bolt
    0.83
     Disorder
    0.82
    Activations Density 0.061%

    No Known Activations