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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. 0-RES-JB
    6. 7028
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    INDEX
    Explanations

    dates and locations expressed as coordinates like 'Latitudinal and Longitudinal'

    oai_token-act-pair · gpt-3.5-turbo

    phrases starting with "By"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    kered
    -0.77
    hes
    -0.58
    vable
    -0.55
    essage
    -0.55
    illon
    -0.54
     stuck
    -0.53
    itans
    -0.53
     unemployment
    -0.53
    ady
    -0.53
     worth
    -0.52
    POSITIVE LOGITS
     By
    3.06
    By
    2.25
     BY
    1.64
    BY
    1.44
    by
    1.42
     Through
    1.42
     To
    1.25
     Via
    1.23
     For
    1.22
     With
    1.21
    Activations Density 0.011%

    No Known Activations