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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. 3682
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    INDEX
    Explanations

    climbing-related activities or actions

    oai_token-act-pair · gpt-3.5-turbo

    references to climbing or ascension

    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
    undo
    -0.72
    nesota
    -0.72
    actionDate
    -0.67
     wip
    -0.65
    ffect
    -0.64
    invoke
    -0.63
    eren
    -0.63
    ctions
    -0.63
    zona
    -0.62
    obile
    -0.61
    POSITIVE LOGITS
     stairs
    1.23
     Everest
    1.19
     aboard
    1.17
     ladder
    1.00
     Mount
    0.98
     Mt
    0.97
     climb
    0.91
     mountains
    0.89
     ceilings
    0.89
     atop
    0.89
    Activations Density 0.092%

    No Known Activations