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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. 5983
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    INDEX
    Explanations

    pronouns indicating possession and attributing characteristics to specific individuals

    oai_token-act-pair · gpt-3.5-turbo

    sections with visual descriptions of fantastical creatures or entities

    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
    —-
    -0.65
    âĶĢ
    -0.60
     Barrett
    -0.59
     Edison
    -0.59
    ----
    -0.58
     Lang
    -0.57
    å§
    -0.57
     Berks
    -0.56
     Seym
    -0.55
     Byr
    -0.55
    POSITIVE LOGITS
     favourite
    0.90
     favorite
    0.80
    panic
    0.77
     own
    0.76
    anmar
    0.76
    ullivan
    0.71
     youngest
    0.70
     Favorite
    0.70
     motives
    0.70
    rera
    0.69
    Activations Density 0.089%

    No Known Activations