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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. 10-RES-JB
    6. 5457
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    INDEX
    Explanations

    percentage increases and decreases in numerical values

    oai_token-act-pair · gpt-3.5-turbo

    significant numerical increases or changes in data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    kamp
    -0.63
    ools
    -0.63
    iquette
    -0.57
     patri
    -0.57
     masses
    -0.57
    agate
    -0.55
    oak
    -0.54
    milo
    -0.53
    0000000000000000
    -0.52
    rive
    -0.52
    POSITIVE LOGITS
     compared
    0.99
     from
    0.84
     since
    0.69
    over
    0.68
    from
    0.67
    OVER
    0.67
     sharply
    0.63
    Compared
    0.62
    amount
    0.61
     reversal
    0.61
    Activations Density 0.082%

    No Known Activations