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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. 11-RES-JB
    11. 12564
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    INDEX
    Explanations

    adjectives describing the intensity or degree of something

    oai_token-act-pair · gpt-3.5-turbo

    intensifiers and measures of size or magnitude

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    icans
    -0.78
    isode
    -0.77
     Ending
    -0.73
    rities
    -0.69
    hemy
    -0.69
    essional
    -0.68
    uckles
    -0.66
    alties
    -0.66
    calling
    -0.66
     Kills
    -0.65
    POSITIVE LOGITS
     versatile
    1.28
     efficient
    1.25
     durable
    1.22
     bulky
    1.22
     powerful
    1.21
     expensive
    1.20
     dense
    1.18
     compact
    1.14
     spacious
    1.13
     costly
    1.12
    Activations Density 0.212%

    No Known Activations