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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. 4-RES-JB
    11. 20726
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    Explanations

    mentions of sports teams and players

    oai_token-act-pair · gpt-3.5-turbo

    instances of the letter 's'

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

    No Comments

    Negative Logits
     subsistence
    -0.76
     Presidents
    -0.69
    ritical
    -0.65
    irtual
    -0.64
    onyms
    -0.63
    onym
    -0.63
     Plaint
    -0.60
     Leilan
    -0.59
     decoration
    -0.57
    ommod
    -0.56
    POSITIVE LOGITS
    leeve
    0.88
    terday
    0.78
    lightly
    0.77
    burgh
    0.72
    ername
    0.72
     Barkley
    0.71
     teammate
    0.71
    fan
    0.71
    ledged
    0.70
    pletion
    0.69
    Activations Density 0.151%

    No Known Activations