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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 11-RES-JB
    11. 11900
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    Explanations

    mathematical expressions and numerical values

    oai_token-act-pair · gpt-3.5-turbo

    numeric data and statistical information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     seism
    -0.65
    crop
    -0.59
     cass
    -0.58
     scal
    -0.58
     trout
    -0.57
     ow
    -0.57
    Demand
    -0.57
     vel
    -0.56
    CVE
    -0.56
     cance
    -0.55
    POSITIVE LOGITS
    06
    0.66
    08
    0.64
    04
    0.63
    05
    0.61
    abase
    0.61
    09
    0.61
    atars
    0.61
    16
    0.60
    anks
    0.60
    07
    0.59
    Activations Density 0.197%

    No Known Activations