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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. 5277
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    INDEX
    Explanations

    numerical quantities related to counts or numbers

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and counts in the text

    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
    advertising
    -0.71
    shape
    -0.68
    jen
    -0.67
    Enh
    -0.67
    growth
    -0.65
    risk
    -0.65
     Lastly
    -0.65
    matter
    -0.64
    Shape
    -0.63
    Aid
    -0.63
    POSITIVE LOGITS
     vacancies
    1.09
     active
    0.92
     registered
    0.90
     openings
    0.89
     distinct
    0.89
     bedrooms
    0.87
     slots
    0.86
     million
    0.86
     layers
    0.84
     subsidiaries
    0.83
    Activations Density 0.146%

    No Known Activations