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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. 1594
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    oai_token-act-pair · gpt-3.5-turbo

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    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
     Quinn
    -0.68
     slips
    -0.65
    kson
    -0.62
     sleeves
    -0.62
    ples
    -0.60
    TON
    -0.59
     Harmon
    -0.58
    plates
    -0.58
     Ashes
    -0.58
    manship
    -0.57
    POSITIVE LOGITS
    ensibly
    1.46
    algia
    1.32
    rophe
    1.24
    ricting
    1.19
    ruct
    1.19
    ream
    1.11
    asis
    1.08
    riction
    1.08
    rophic
    1.06
    rict
    1.05
    Activations Density 0.026%

    No Known Activations