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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. 1286
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    INDEX
    Explanations

    percentages and statistical figures in sentences

    oai_token-act-pair · gpt-3.5-turbo

    percentages related to statistical data or survey results

    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
    imus
    -0.74
    uran
    -0.72
    oria
    -0.71
    mus
    -0.67
     artif
    -0.66
     shack
    -0.64
    aph
    -0.64
     tyrann
    -0.62
    matically
    -0.62
    itz
    -0.60
    POSITIVE LOGITS
    ecided
    0.83
    theless
    0.79
    osuke
    0.78
    TPS
    0.75
    okers
    0.72
    +)
    0.71
    erest
    0.71
     Females
    0.70
    OGR
    0.69
    votes
    0.69
    Activations Density 0.015%

    No Known Activations