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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. 7-RES-JB
    11. 1979
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    Explanations

    names of individuals or entities

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and question marks that indicate inquiries or prompts for information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     pooled
    -0.81
     facult
    -0.72
     lact
    -0.68
     reciprocal
    -0.67
     marine
    -0.66
     deliber
    -0.65
     fish
    -0.65
     automatic
    -0.64
     polic
    -0.63
     threaded
    -0.63
    POSITIVE LOGITS
     Firstly
    0.99
     Its
    0.80
     Flavoring
    0.79
    SourceFile
    0.77
    Buzz
    0.77
    esides
    0.76
     Especially
    0.75
    Firstly
    0.75
     Particularly
    0.74
     Personally
    0.73
    Activations Density 0.541%

    No Known Activations