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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. 20853
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    INDEX
    Explanations

    numbers, dates, and time-related information

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and time-related references

    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
     newsp
    -0.64
     ninety
    -0.60
     metic
    -0.58
     suff
    -0.56
     perspect
    -0.54
    attering
    -0.54
     distingu
    -0.54
     mutually
    -0.52
     ric
    -0.52
    pering
    -0.51
    POSITIVE LOGITS
     6
    1.82
     7
    1.80
     8
    1.57
    7
    1.55
    6
    1.55
     5
    1.43
    8
    1.35
     9
    1.34
    5
    1.15
     4
    1.13
    Activations Density 0.238%

    No Known Activations