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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. 3-RES-JB
    11. 9066
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    INDEX
    Explanations

    contractions of words with auxiliary verbs

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating potential or hypothetical situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orously
    -0.64
     remembrance
    -0.60
     Cly
    -0.60
    plates
    -0.58
    hyde
    -0.57
     uniform
    -0.56
    mem
    -0.56
     deb
    -0.56
    ilty
    -0.55
     Kub
    -0.54
    POSITIVE LOGITS
    ĵĺ
    0.88
     feas
    0.88
    ħĭ
    0.83
     mistaken
    0.73
    ivably
    0.72
    »Ĵ
    0.70
     conce
    0.69
     Bezos
    0.69
    aiman
    0.68
    enna
    0.67
    Activations Density 0.299%

    No Known Activations