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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. 8-RES-JB
    6. 28
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    Explanations

    instances where actions or events are suggested to happen differently than the norm

    oai_token-act-pair · gpt-3.5-turbo

    phrases or constructions that specify alternatives or comparisons

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CSS
    -0.72
    may
    -0.72
    izens
    -0.69
    cia
    -0.69
    soon
    -0.68
    WIND
    -0.67
    cue
    -0.67
    Corn
    -0.66
    RAW
    -0.64
    Aren
    -0.64
    POSITIVE LOGITS
     necessarily
    1.16
     relying
    1.14
     bothering
    1.10
     merely
    1.03
     simply
    0.93
     letting
    0.93
     risking
    0.90
     outright
    0.90
     allowing
    0.86
     focusing
    0.85
    Activations Density 0.060%

    No Known Activations