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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. 17413
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    Explanations

    adjectives describing emotional or mental states

    oai_token-act-pair · gpt-3.5-turbo

    emotional states and reactions

    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
     roundup
    -0.61
     dated
    -0.60
    utra
    -0.59
    rule
    -0.58
     offsets
    -0.58
    rio
    -0.57
    levard
    -0.57
    ua
    -0.56
    orr
    -0.56
    CHA
    -0.56
    POSITIVE LOGITS
     aback
    1.21
     by
    1.10
     BY
    0.89
    by
    0.87
    igious
    0.85
     anew
    0.83
     awake
    0.81
    By
    0.79
    urous
    0.78
     beyond
    0.77
    Activations Density 0.221%

    No Known Activations