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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. 2198
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    Explanations

    actions related to physical climbing

    oai_token-act-pair · gpt-3.5-turbo

    references to climbing activities or related actions

    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
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    No Comments

    Negative Logits
    invoke
    -0.72
    actionDate
    -0.70
    gren
    -0.68
    nesota
    -0.65
    esson
    -0.63
    eren
    -0.63
    aments
    -0.63
    ersive
    -0.63
    rums
    -0.62
    Ĭ±
    -0.62
    POSITIVE LOGITS
     Everest
    1.18
     stairs
    1.09
     footh
    1.04
     climbing
    1.02
     ladder
    1.00
     aboard
    0.99
     climb
    0.99
     ascent
    0.95
     climbs
    0.92
     mountains
    0.91
    Activations Density 0.056%

    No Known Activations