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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. 9-RES-JB
    11. 16245
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    Explanations

    numbers preceded by a punctuation mark ','

    oai_token-act-pair · gpt-3.5-turbo

    instances of numerical data or statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     wom
    -0.63
     completion
    -0.61
     maiden
    -0.59
     Forth
    -0.52
     Laur
    -0.52
     FTA
    -0.51
     enthusi
    -0.51
     beauty
    -0.51
     achievement
    -0.51
     stout
    -0.49
    POSITIVE LOGITS
    500
    1.49
    700
    1.47
    800
    1.44
    600
    1.44
    400
    1.36
    000
    1.35
    300
    1.35
    200
    1.32
    900
    1.27
    050
    1.17
    Activations Density 0.080%

    No Known Activations