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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. 11228
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    Explanations

    references to specific individual entities

    oai_token-act-pair · gpt-3.5-turbo

    references to a central or significant individual in various contexts

    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
    inders
    -0.84
    ategory
    -0.80
    iminary
    -0.73
    pace
    -0.69
    actionDate
    -0.68
    rang
    -0.65
    avascript
    -0.65
    ICO
    -0.64
    ourn
    -0.63
    helm
    -0.63
    POSITIVE LOGITS
     Hundred
    0.90
     hundred
    0.81
     Thousand
    0.76
    liest
    0.70
     eyed
    0.70
     wonders
    0.70
     sided
    0.69
     thing
    0.69
     thousand
    0.66
     person
    0.65
    Activations Density 0.032%

    No Known Activations