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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. 5-RES-JB
    6. 16991
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    Explanations

    instances where a process or action is perceived as completed or at a significant stage of progression

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the completion, availability, or condition of processes and items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     presidents
    -0.68
    çīĪ
    -0.66
     backgrounds
    -0.65
     descriptions
    -0.60
     Cosponsors
    -0.60
    Tre
    -0.59
     summarizes
    -0.57
    bats
    -0.57
    ccording
    -0.56
     Mog
    -0.55
    POSITIVE LOGITS
     sufficiently
    0.73
     imminent
    0.67
    oldemort
    0.66
     enough
    0.66
     irreversible
    0.66
    readable
    0.65
    ufficient
    0.63
     theirs
    0.63
    orthy
    0.63
    pai
    0.63
    Activations Density 0.843%

    No Known Activations