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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. 12968
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "ri" 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
     delay
    -0.74
     raft
    -0.63
     late
    -0.62
     majorities
    -0.60
     microscope
    -0.60
     deduction
    -0.59
     liking
    -0.58
     GST
    -0.56
    NOT
    -0.56
     endorsements
    -0.56
    POSITIVE LOGITS
    ving
    1.15
    quet
    1.14
    quez
    1.12
    zzle
    1.10
    zona
    1.08
    vals
    1.05
    archy
    1.03
    acus
    1.03
    ety
    1.02
    zz
    0.99
    Activations Density 0.042%

    No Known Activations