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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. 10362
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    INDEX
    Explanations

    height measurements in feet and inches

    oai_token-act-pair · gpt-3.5-turbo

    numerical values related to measurements and statistics

    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
     Lank
    -0.61
     dossier
    -0.61
    Äĩ
    -0.59
     decor
    -0.59
    lict
    -0.57
    raints
    -0.57
     NEVER
    -0.54
    ort
    -0.54
    alog
    -0.53
    ignty
    -0.53
    POSITIVE LOGITS
     apiece
    1.05
     behest
    0.89
     intersections
    0.82
     expense
    0.78
    localhost
    0.76
    point
    0.75
    38
    0.75
    nm
    0.71
    34
    0.71
     ripe
    0.71
    Activations Density 0.111%

    No Known Activations