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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. 9-RES-JB
    11. 16402
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    Explanations

    URL imports in a programming context

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "from."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rils
    -0.85
    ratulations
    -0.80
    faced
    -0.76
    opausal
    -0.76
    Enlarge
    -0.74
    sylv
    -0.74
    icipated
    -0.73
    irm
    -0.71
    secut
    -0.70
    ifling
    -0.69
    POSITIVE LOGITS
     whence
    1.23
     afar
    1.16
     scratch
    1.09
     Above
    0.92
     thence
    0.86
     Uni
    0.81
     Wikipedia
    0.80
     above
    0.78
     Wow
    0.78
     Shutterstock
    0.77
    Activations Density 0.095%

    No Known Activations