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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. 9-RES-JB
    11. 16442
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    Explanations

    phrases expressing strong opinions or judgments

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions, particularly focusing on the word "and."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    thood
    -0.75
    pmwiki
    -0.72
    steam
    -0.70
    usk
    -0.66
    ynasty
    -0.65
    irie
    -0.65
    arro
    -0.64
    odcast
    -0.64
    oak
    -0.64
    enger
    -0.63
    POSITIVE LOGITS
     deserves
    1.28
     certainly
    1.11
     therefore
    1.08
     hopefully
    1.03
     shouldn
    1.03
     frankly
    0.99
     hence
    0.98
     underscores
    0.98
     reminds
    0.97
     rightfully
    0.97
    Activations Density 0.272%

    No Known Activations