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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. 7562
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    INDEX
    Explanations

    lessons or moral messages within the text

    oai_token-act-pair · gpt-3.5-turbo

    references to lessons or morals drawn from historical or social contexts

    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
    offs
    -0.78
    parts
    -0.73
    sites
    -0.71
    Cho
    -0.70
    scenes
    -0.69
    hers
    -0.68
    ongh
    -0.67
    Sources
    -0.66
    bats
    -0.66
    oves
    -0.65
    POSITIVE LOGITS
     lesson
    1.53
     gamble
    1.53
     rant
    1.48
     clash
    1.47
     rewrite
    1.38
     purge
    1.37
     hike
    1.35
     downgrade
    1.27
     kiss
    1.26
     brawl
    1.26
    Activations Density 0.057%

    No Known Activations