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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. 22218
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    Explanations

    specific times, dates, and locations mentioned in a structured format

    oai_token-act-pair · gpt-3.5-turbo

    details related to events and their logistics

    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
    uably
    -0.65
    ousands
    -0.63
     flourishing
    -0.59
     spate
    -0.59
     masse
    -0.59
     habit
    -0.58
     dared
    -0.57
    âĹ¼
    -0.57
     slump
    -0.57
     billions
    -0.56
    POSITIVE LOGITS
    .''.
    1.13
    <|endoftext|>
    1.06
     unless
    1.02
    .;
    0.97
     except
    0.97
    .�
    0.96
    .
    0.95
    .).
    0.94
    .]
    0.90
    .*
    0.87
    Activations Density 0.491%

    No Known Activations