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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 13934
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    specific non-English characters or symbols, particularly relating to names

    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
    Not in Any Lists

    No Comments

    Negative Logits
    naires
    -0.70
    ibly
    -0.67
     Chavez
    -0.65
    IBLE
    -0.64
    ibility
    -0.64
     wisdom
    -0.64
     Cobra
    -0.62
     sorts
    -0.62
     helicop
    -0.61
     Crus
    -0.60
    POSITIVE LOGITS
    ö
    1.25
    zbek
    1.24
    ller
    1.14
    lde
    1.11
    hler
    1.08
    hl
    1.07
    sten
    1.05
    ppel
    1.04
    ÃŁ
    1.00
    misc
    1.00
    Activations Density 0.020%

    No Known Activations