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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 1-RES-JB
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    Explanations

    occurrences of the word "challenge" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "challenge."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ccording
    -0.67
    ahon
    -0.66
     Leaves
    -0.66
     isot
    -0.65
    ergy
    -0.63
     actionGroup
    -0.63
    odes
    -0.62
    miah
    -0.61
     tmp
    -0.59
    mental
    -0.59
    POSITIVE LOGITS
     challenge
    1.26
    enged
    1.08
    chall
    1.08
    Chall
    1.05
     challenges
    0.97
     challengers
    0.97
    enges
    0.93
     challenging
    0.89
    naires
    0.86
     Challenge
    0.85
    Activations Density 0.014%

    No Known Activations