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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. 14068
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    INDEX
    Explanations

    mentions of positive learning experiences

    oai_token-act-pair · gpt-3.5-turbo

    references to literature and educational experiences

    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
    wark
    -0.77
     UPDATE
    -0.73
    utterstock
    -0.72
    Update
    -0.71
     expires
    -0.69
     occupant
    -0.68
    Ĥİ
    -0.68
    statement
    -0.67
    ãĤº
    -0.66
    claimer
    -0.66
    POSITIVE LOGITS
     mentors
    0.97
     poets
    0.91
     Teach
    0.90
     kindred
    0.89
     poetry
    0.87
     poems
    0.85
     psychedel
    0.85
     philosophers
    0.81
     LSD
    0.80
     mystic
    0.80
    Activations Density 0.958%

    No Known Activations