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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. 1800
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    Explanations

    reflexive pronouns followed by a verb, indicating actions done by individuals to or for themselves

    oai_token-act-pair · gpt-3.5-turbo

    reflexive pronouns indicating self-reference

    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
    aceae
    -0.68
    aic
    -0.66
     Plans
    -0.63
    growth
    -0.63
    FUL
    -0.63
    oras
    -0.62
     Process
    -0.60
    hetics
    -0.60
    oops
    -0.60
    hee
    -0.59
    POSITIVE LOGITS
     embroiled
    1.30
     needing
    1.11
     sandwic
    1.10
     surrounded
    1.08
     entangled
    1.08
     unable
    1.07
     stranded
    1.07
     trapped
    1.07
     wondering
    1.06
     staring
    1.06
    Activations Density 0.056%

    No Known Activations