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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. 11-RES-JB
    11. 6021
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    INDEX
    Explanations

    opinions or statements expressing emotions or strong feelings

    oai_token-act-pair · gpt-3.5-turbo

    expressions of emotion and sentiment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Flavoring
    -0.74
     exting
    -0.73
    agonists
    -0.68
    assembled
    -0.67
    pleting
    -0.66
    oufl
    -0.64
    ptoms
    -0.64
    etheless
    -0.63
     pione
    -0.63
    vertisement
    -0.62
    POSITIVE LOGITS
     ya
    1.19
     you
    1.01
     SHE
    0.98
     we
    0.96
     YOU
    0.96
     THEY
    0.94
     she
    0.93
     somet
    0.91
     I
    0.90
     they
    0.88
    Activations Density 0.367%

    No Known Activations