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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. 1826
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    Explanations

    adjectives expressing extreme value judgments

    oai_token-act-pair · gpt-3.5-turbo

    terms related to significance and severity in various contexts

    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
     teasp
    -0.74
    chwitz
    -0.73
    è£ħ
    -0.70
    ñ
    -0.69
    attery
    -0.67
    Þ
    -0.67
    GoldMagikarp
    -0.67
    idges
    -0.67
    Ğ
    -0.67
    StreamerBot
    -0.66
    POSITIVE LOGITS
     imaginable
    1.04
     thing
    0.81
     manifestation
    0.80
    hest
    0.77
     EVER
    0.75
     ever
    0.73
     culprit
    0.70
     predictor
    0.70
     conceivable
    0.69
     exponent
    0.68
    Activations Density 0.131%

    No Known Activations