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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. 17996
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    Explanations

    examples or instances of something being mentioned

    oai_token-act-pair · gpt-3.5-turbo

    phrases introducing examples or highlights

    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
    uca
    -0.90
    endor
    -0.82
    ieu
    -0.79
    etz
    -0.78
    byss
    -0.78
    same
    -0.76
    amphetamine
    -0.75
    ester
    -0.75
    undle
    -0.74
    ulic
    -0.74
    POSITIVE LOGITS
     examples
    1.41
     highlights
    1.23
     excerpts
    1.21
     ways
    1.10
     notable
    1.10
     reasons
    1.08
     noteworthy
    1.08
     observations
    1.04
     pointers
    1.04
     suggestions
    1.03
    Activations Density 0.121%

    No Known Activations