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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. 2-RES-JB
    11. 7891
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    Explanations

    mentions of actions related to increasing or raising something, such as taxes, salaries, deficits, or doubts

    oai_token-act-pair · gpt-3.5-turbo

    verbs related to increasing or elevating amounts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Sco
    -0.81
     Samoa
    -0.68
    ship
    -0.68
     cleans
    -0.67
    jar
    -0.66
    ician
    -0.66
     Hurricanes
    -0.63
    cas
    -0.63
     Nicole
    -0.62
     Columb
    -0.62
    POSITIVE LOGITS
     eyebrows
    0.91
    ulic
    0.89
    rament
    0.83
     Income
    0.83
    xual
    0.81
    stakes
    0.76
    yip
    0.76
     incomes
    0.73
    mary
    0.73
    ONEY
    0.72
    Activations Density 0.019%

    No Known Activations