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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. 1389
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    INDEX
    Explanations

    mentions of the word "Forbes"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the publication "Forbes" and its associated context

    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
    qqa
    -0.72
    uality
    -0.72
    apt
    -0.70
    phis
    -0.68
    RANT
    -0.67
     retri
    -0.65
    zees
    -0.64
    thro
    -0.63
    displayText
    -0.62
    drawn
    -0.61
    POSITIVE LOGITS
    Magazine
    0.96
     Forbes
    0.92
     Magazine
    0.87
     Institution
    0.84
     magazine
    0.78
    Corp
    0.73
    ensor
    0.72
     contributor
    0.71
    Wire
    0.71
     Ceres
    0.69
    Activations Density 0.020%

    No Known Activations