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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. 23827
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    INDEX
    Explanations

    predictions or statements about future events

    oai_token-act-pair · gpt-3.5-turbo

    the verb "be" in various contexts

    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
    usc
    -0.67
     Mans
    -0.63
     Bars
    -0.62
     Franch
    -0.62
     premise
    -0.62
     Genius
    -0.62
     Melody
    -0.62
     Promotion
    -0.62
     Noir
    -0.61
    ongo
    -0.59
    POSITIVE LOGITS
     judged
    1.07
     punished
    1.05
     able
    1.05
    fall
    1.02
     remembered
    1.01
     rewarded
    0.99
     sorely
    0.96
     forgiven
    0.96
     repaid
    0.92
     replaced
    0.90
    Activations Density 0.170%

    No Known Activations