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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. 11-RES-JB
    11. 14227
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    Explanations

    verbs related to achieving outcomes or results

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to the pursuit of desired outcomes and the disappointments of unfulfilled expectations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ahime
    -0.88
     Deadline
    -0.73
    src
    -0.68
     actionGroup
    -0.67
    Ask
    -0.66
    chool
    -0.65
    agine
    -0.64
     Username
    -0.63
    ctors
    -0.63
    quote
    -0.62
    POSITIVE LOGITS
     results
    1.56
     benefits
    1.43
     outcomes
    1.42
     improvements
    1.32
     gains
    1.32
     improvement
    1.31
     benefit
    1.29
     successes
    1.28
     dividends
    1.26
     victories
    1.23
    Activations Density 0.574%

    No Known Activations