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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. 7-RES-JB
    11. 20023
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    INDEX
    Explanations

    words related to different types of categories, such as 'adult', 'Class', 'Gender', 'Europe', 'gold', 'Exercise', 'NBC', 'Fox', 'gas', 'internet', 'story', 'Art', 'Pacific', 'PT', 'video', and 'quality'

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to categories, demographics, and different forms of media or content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ographers
    -0.66
     Prescott
    -0.66
     sworn
    -0.63
     Woods
    -0.59
     scrut
    -0.58
     compile
    -0.57
     braking
    -0.57
     wel
    -0.57
    ÃŃs
    -0.56
    iencies
    -0.56
    POSITIVE LOGITS
    /,
    0.97
     Ratio
    0.96
     combo
    0.92
     alike
    0.88
    /-
    0.87
    /)
    0.85
     ratio
    0.81
    /?
    0.79
    terday
    0.77
    tenance
    0.75
    Activations Density 0.122%

    No Known Activations