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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. 1491
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    Explanations

    proper nouns, possibly focusing on names of people and places

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and key identifiers 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
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    Negative Logits
     ..."
    -0.54
     Samoa
    -0.53
     Uganda
    -0.51
     Angola
    -0.51
    oldemort
    -0.49
     Flavoring
    -0.48
    ··
    -0.47
    naires
    -0.47
     Marse
    -0.46
    ãĢį
    -0.46
    POSITIVE LOGITS
    ortunately
    0.58
    cedented
    0.55
    ĺ
    0.54
    ActionCode
    0.53
    ł
    0.53
    entimes
    0.52
    õ
    0.51
     pione
    0.50
    ú
    0.50
     RandomRedditor
    0.50
    Activations Density 0.644%

    No Known Activations