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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. 10-RES-JB
    11. 5305
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    INDEX
    Explanations

    people or entities being interviewed or spoken to

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating communication or conversations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wcsstore
    -0.79
     ashore
    -0.72
    itsch
    -0.70
    coming
    -0.67
     =>
    -0.65
    Interstitial
    -0.64
    opolis
    -0.63
     thereof
    -0.63
    urn
    -0.63
    mol
    -0.62
    POSITIVE LOGITS
     representatives
    1.00
     fellow
    0.94
     executives
    0.92
     someone
    0.89
     experts
    0.88
     knowledgeable
    0.84
     dozens
    0.84
     sources
    0.84
     witnesses
    0.83
     insiders
    0.83
    Activations Density 0.135%

    No Known Activations