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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. 7-RES-JB
    11. 17153
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    Explanations

    proper names and names of places

    oai_token-act-pair · gpt-3.5-turbo

    various punctuation marks and transitions in textual contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     mund
    -0.75
    bow
    -0.66
    afety
    -0.62
     Woodward
    -0.61
    arah
    -0.61
    direction
    -0.60
    leen
    -0.60
     fundament
    -0.60
    gradient
    -0.58
    ãĤ§
    -0.58
    POSITIVE LOGITS
     respectively
    1.44
    anwhile
    0.78
    Interstitial
    0.77
    ibaba
    0.75
    avorite
    0.74
    aucuses
    0.73
     vying
    0.73
     among
    0.72
     latter
    0.72
     apiece
    0.71
    Activations Density 0.498%

    No Known Activations