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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. 8-RES-JB
    11. 16736
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    Explanations

    proper names, especially those with accents, and words with uncommon characters

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the substring "pe"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    spring
    -0.70
    é¾
    -0.67
     GOODMAN
    -0.62
     microscopic
    -0.61
     sidel
    -0.60
     swirling
    -0.59
    sm
    -0.59
     confounding
    -0.58
     mindfulness
    -0.58
    said
    -0.57
    POSITIVE LOGITS
    rer
    1.06
    cific
    1.04
    anut
    1.02
    asant
    0.99
    ller
    0.98
    oples
    0.96
    rers
    0.92
    cial
    0.91
    cies
    0.90
    reon
    0.90
    Activations Density 0.021%

    No Known Activations