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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. 9-RES-JB
    6. 9424
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    INDEX
    Explanations

    words related to analysis and comparison, particularly in research contexts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to statistical analysis and calculations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pal
    -0.78
    ihu
    -0.76
    jew
    -0.76
    krit
    -0.72
    redo
    -0.71
    agar
    -0.71
    arah
    -0.70
    oug
    -0.70
    lv
    -0.69
    inery
    -0.69
    POSITIVE LOGITS
     various
    1.45
     different
    1.40
     each
    1.29
     respective
    1.15
     specific
    1.04
     varying
    1.03
     particular
    0.99
     differing
    0.99
     Different
    0.97
     individual
    0.95
    Activations Density 0.476%

    No Known Activations