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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. 12597
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    Explanations

    phrases related to curated content recommendations

    oai_token-act-pair · gpt-3.5-turbo

    references to curated selections or recommendations

    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
     includ
    -0.67
     mete
    -0.56
     retri
    -0.53
    edu
    -0.53
     mos
    -0.53
    bia
    -0.52
     plate
    -0.52
    partial
    -0.52
    baugh
    -0.51
     unfinished
    -0.51
    POSITIVE LOGITS
    ettings
    0.65
    icles
    0.63
    ocalypse
    0.61
    ubes
    0.61
     Picks
    0.61
    cience
    0.60
    imeter
    0.59
     Travels
    0.58
    Export
    0.58
    Default
    0.57
    Activations Density 0.019%

    No Known Activations