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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. 10-RES-JB
    11. 4511
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    INDEX
    Explanations

    ranges of numerical values

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word 'to' and phrases that indicate direction or purpose

    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
    sat
    -0.69
    bane
    -0.64
     Nanto
    -0.61
     Creator
    -0.61
     Scrib
    -0.60
     perspect
    -0.56
     rug
    -0.56
     humble
    -0.55
     litter
    -0.55
    lation
    -0.55
    POSITIVE LOGITS
     70
    1.35
     61
    1.30
     65
    1.30
     80
    1.30
     60
    1.29
     66
    1.29
     59
    1.28
     72
    1.27
     55
    1.27
     51
    1.27
    Activations Density 0.102%

    No Known Activations