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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. 10211
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    Explanations

    phrases related to providing insight or a brief preview of future events

    oai_token-act-pair · gpt-3.5-turbo

    references to glimpses or previews of information or concepts

    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
    hement
    -0.75
    ients
    -0.71
    KK
    -0.70
    cial
    -0.69
    ubs
    -0.67
    die
    -0.66
    lees
    -0.66
    arently
    -0.64
    eches
    -0.64
     depended
    -0.63
    POSITIVE LOGITS
     whats
    0.91
     sorts
    0.83
    helm
    0.77
     theirs
    0.73
     ours
    0.73
     doom
    0.71
     what
    0.69
     physiology
    0.69
     reality
    0.68
     how
    0.66
    Activations Density 0.187%

    No Known Activations