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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 1993
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    INDEX
    Explanations

    negative sentiment or criticism in text

    oai_token-act-pair · gpt-3.5-turbo

    negative sentiments or criticisms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Tiny
    -0.80
     Feder
    -0.80
     Dynam
    -0.78
     Ballistic
    -0.74
     Helic
    -0.73
     FIN
    -0.72
     Yellow
    -0.71
     Mystic
    -0.71
     Gilbert
    -0.71
     UC
    -0.70
    POSITIVE LOGITS
    direction
    1.30
    based
    1.29
    family
    1.23
    repeat
    1.21
    bearing
    1.21
    level
    1.20
    axis
    1.20
    related
    1.19
    backer
    1.18
    induced
    1.18
    Activations Density 0.121%

    No Known Activations