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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. 1147
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    Explanations

    words related to actions taken in response to challenges or problems

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "resort" and its variations in context

    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
    hemat
    -0.78
    rod
    -0.75
    origin
    -0.71
    trust
    -0.64
    mus
    -0.63
    wa
    -0.63
    paces
    -0.63
    printed
    -0.63
    pace
    -0.63
    mson
    -0.62
    POSITIVE LOGITS
    pmwiki
    0.90
     Ples
    0.89
    lamm
    0.83
    geoning
    0.82
     resort
    0.82
    urous
    0.81
     resorts
    0.80
    ury
    0.76
    icides
    0.76
     Resort
    0.73
    Activations Density 0.050%

    No Known Activations