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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. 0-RES-JB
    11. 7882
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    Explanations

    mentions of clothing items

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "pants" and related themes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ber
    -0.73
    lder
    -0.72
    ranch
    -0.70
    DOC
    -0.68
    adr
    -0.66
     confinement
    -0.65
    uint
    -0.64
     brother
    -0.63
    ensor
    -0.62
     mol
    -0.62
    POSITIVE LOGITS
    pants
    2.41
    tale
    1.80
     Pants
    1.40
     Engineers
    1.31
    anova
    1.22
    naire
    1.14
     Cout
    1.12
     Dropbox
    1.10
     Architects
    1.08
    gram
    1.07
    Activations Density 0.077%

    No Known Activations