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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. 21861
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    INDEX
    Explanations

    phrases indicating a large quantity of something

    oai_token-act-pair · gpt-3.5-turbo

    the word "so" and its usage in various contexts

    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
     PAL
    -0.58
     Slide
    -0.58
     Prospect
    -0.58
     Peninsula
    -0.57
     Camel
    -0.56
     Weekly
    -0.55
     excerpts
    -0.54
     Adjust
    -0.54
     Higher
    -0.54
     Better
    -0.54
    POSITIVE LOGITS
     many
    1.34
     much
    1.27
    oooo
    1.25
    ooo
    1.21
    oooooooo
    1.13
    apy
    1.13
    bered
    1.07
    oths
    1.07
    othe
    1.04
     few
    1.03
    Activations Density 0.039%

    No Known Activations