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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. 9-RES-JB
    11. 5541
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    Explanations

    phrases related to expressing opinions or thoughts

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express vocalization or thoughts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mint
    -0.61
    vable
    -0.59
    uld
    -0.58
    agascar
    -0.58
     tem
    -0.58
    unal
    -0.57
    saf
    -0.57
     alloy
    -0.54
     princip
    -0.53
    CLUD
    -0.52
    POSITIVE LOGITS
     '[
    1.09
     hey
    1.03
     wow
    0.99
     '
    0.97
     `
    0.95
     "'
    0.94
     Hey
    0.93
     oh
    0.90
     '(
    0.90
    Hey
    0.90
    Activations Density 0.331%

    No Known Activations