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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. 16489
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    Explanations

    numerical statistics and figures presented in a factual context, especially related to incidents or events

    oai_token-act-pair · gpt-3.5-turbo

    quantitative data and statistics related to various reported incidents and cases

    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
     wisely
    -0.77
     nurture
    -0.73
    soDeliveryDate
    -0.69
     Ruler
    -0.68
     circuitry
    -0.66
     ¯
    -0.65
    ourage
    -0.64
     srfAttach
    -0.64
    Econom
    -0.64
     BAS
    -0.64
    POSITIVE LOGITS
     deaths
    1.67
     fatalities
    1.50
     suicides
    1.38
     homicides
    1.32
     arrests
    1.30
     incidents
    1.28
     prosecutions
    1.22
     instances
    1.19
     occurrences
    1.18
     complaints
    1.18
    Activations Density 0.216%

    No Known Activations