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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. 4-RES-JB
    11. 17295
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    Explanations

    situations or measures described with various levels

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating varying degrees or levels of intensity or measurement

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

    No Comments

    Negative Logits
     Andromeda
    -0.76
     Gamble
    -0.73
    enegger
    -0.72
    ILLE
    -0.72
    ãĥĹ
    -0.72
    vous
    -0.71
    INA
    -0.70
     Twins
    -0.70
    CHAT
    -0.68
    uter
    -0.66
    POSITIVE LOGITS
    level
    0.93
     level
    0.88
     levels
    0.81
     crossings
    0.77
    ropri
    0.76
     assurance
    0.75
    chart
    0.73
    ffen
    0.73
    lining
    0.72
     attainment
    0.70
    Activations Density 0.030%

    No Known Activations