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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. 13797
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    Explanations

    mentions of specific geographical regions, particularly the Mediterranean

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the substring "ran"

    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
     effective
    -0.76
     indications
    -0.75
     inclusive
    -0.71
     lesson
    -0.71
     appearances
    -0.69
     appearance
    -0.67
     eff
    -0.67
     illustration
    -0.66
     unatt
    -0.66
     artificially
    -0.64
    POSITIVE LOGITS
    ran
    4.69
    rano
    1.79
    rane
    1.72
    rans
    1.57
    rant
    1.52
    ras
    1.48
    run
    1.48
    ral
    1.42
    ra
    1.40
    ram
    1.37
    Activations Density 0.014%

    No Known Activations