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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. 21895
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    Explanations

    people's names

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns or names

    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
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    No Comments

    Negative Logits
     metic
    -0.84
     tablet
    -0.76
     fragment
    -0.75
     delegate
    -0.72
     bean
    -0.72
     coin
    -0.70
     notebook
    -0.70
     barrier
    -0.70
     cigar
    -0.70
     bullet
    -0.70
    POSITIVE LOGITS
    ols
    1.25
    asses
    1.24
    isons
    1.23
    ls
    1.23
    sets
    1.22
    esters
    1.20
    ents
    1.20
    ends
    1.19
    olds
    1.19
    rays
    1.19
    Activations Density 0.258%

    No Known Activations