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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. 8-RES-JB
    11. 9882
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    Explanations

    numeric values, particularly focusing on counts and quantities

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "number of" followed by numerical values

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.88
    ername
    -0.78
    rade
    -0.76
    forward
    -0.75
     srfAttach
    -0.74
    ĺ
    -0.72
    IER
    -0.72
    recy
    -0.71
    ury
    -0.71
    aste
    -0.70
    POSITIVE LOGITS
     times
    1.05
     occurrences
    0.99
     entries
    0.97
     allowable
    0.93
     acres
    0.92
     entrants
    0.91
     casualties
    0.90
     fatalities
    0.90
     digits
    0.90
     calories
    0.89
    Activations Density 0.060%

    No Known Activations