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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. 3527
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    Explanations

    high-level terms or phrases

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "high-level" concepts, discussions, or activities

    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
     Dull
    -0.78
    ĸļ
    -0.76
     Creator
    -0.71
     XD
    -0.71
     Anth
    -0.70
     Gum
    -0.69
     Mermaid
    -0.66
     Sawyer
    -0.65
     Wiz
    -0.65
     Cheong
    -0.64
    POSITIVE LOGITS
    profile
    1.33
    ranking
    1.32
    level
    1.31
    priced
    1.27
    grade
    1.27
    quality
    1.27
    powered
    1.26
    stakes
    1.23
    intensity
    1.23
    priority
    1.23
    Activations Density 0.042%

    No Known Activations