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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. 11-RES-JB
    11. 5455
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    Explanations

    adjectives in English that can be broken into prefix + stem + suffix forms

    oai_token-act-pair · gpt-3.5-turbo

    variations of the prefix "und-"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     fart
    -0.75
     gorilla
    -0.73
    ÙIJ
    -0.67
     speakers
    -0.65
     cough
    -0.60
     اÙĦ
    -0.60
     fulfillment
    -0.60
     coughing
    -0.58
    Ĥİ
    -0.57
     averages
    -0.56
    POSITIVE LOGITS
    etermined
    1.40
    iscovered
    1.38
    oubted
    1.38
    oubtedly
    1.35
    aunted
    1.35
    efined
    1.31
    ifferent
    1.31
    oubt
    1.29
    uly
    1.23
    irect
    1.20
    Activations Density 0.026%

    No Known Activations