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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. 3-RES-JB
    11. 6400
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    Explanations

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    references to advocacy groups

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Incarn
    -0.71
    lite
    -0.69
     deriv
    -0.68
    cffffcc
    -0.67
    lvl
    -0.67
    ा
    -0.61
     dx
    -0.61
    èª
    -0.61
     latent
    -0.60
    ministic
    -0.60
    POSITIVE LOGITS
    roups
    1.00
    arette
    0.90
     members
    0.86
    think
    0.86
     groups
    0.84
    naires
    0.81
     group
    0.80
    arettes
    0.80
    rats
    0.79
    leader
    0.78
    Activations Density 0.051%

    No Known Activations