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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. 0-RES-JB
    11. 10112
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and titles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    JO
    -0.79
    lock
    -0.74
    JP
    -0.71
    xit
    -0.70
    opus
    -0.68
    strike
    -0.68
     NI
    -0.65
    iotic
    -0.65
    jobs
    -0.64
     Damien
    -0.64
    POSITIVE LOGITS
     Wald
    3.71
     Mald
    1.41
     Clement
    1.22
     Gott
    1.15
     Cind
    1.08
     Bild
    1.07
     Byrd
    1.07
     Eleanor
    1.07
     Ott
    1.07
     Vald
    1.01
    Activations Density 0.046%

    No Known Activations