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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. 9-RES-JB
    11. 23895
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    Explanations

    words related to business and technology

    oai_token-act-pair · gpt-3.5-turbo

    references to financial and corporate entities or associated metrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    "},"
    -0.83
     Satanic
    -0.66
     attm
    -0.63
    rather
    -0.62
     Amen
    -0.62
     Shutterstock
    -0.61
    \"
    -0.58
     Grateful
    -0.56
     BEFORE
    -0.56
    "]=>
    -0.56
    POSITIVE LOGITS
     fared
    1.20
     likewise
    1.15
     went
    1.03
     stayed
    1.00
     gave
    0.97
     remained
    0.95
     took
    0.94
     did
    0.93
     showed
    0.93
     got
    0.92
    Activations Density 0.590%

    No Known Activations