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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. 11638
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    Explanations

    references to maps

    oai_token-act-pair · gpt-3.5-turbo

    references to maps and mapping concepts

    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
    ndra
    -0.76
    nuts
    -0.73
    nder
    -0.73
    ership
    -0.70
    weeney
    -0.66
    anced
    -0.65
    swer
    -0.65
    wait
    -0.65
    æł
    -0.64
    acies
    -0.64
    POSITIVE LOGITS
    ographer
    0.88
    makers
    0.87
    map
    0.82
    maker
    0.81
    uto
    0.79
     map
    0.77
     mapped
    0.77
     tiles
    0.75
     maps
    0.74
    maps
    0.73
    Activations Density 0.045%

    No Known Activations