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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. 17455
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and names of places or people

    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
     respectively
    -0.73
    20439
    -0.62
     [&
    -0.58
     housed
    -0.58
     trans
    -0.58
     etc
    -0.57
     decimal
    -0.56
     thereto
    -0.53
     fame
    -0.53
     precursor
    -0.52
    POSITIVE LOGITS
    resa
    0.89
    anyahu
    0.87
    withstanding
    0.86
    ogether
    0.82
    anie
    0.82
    Plot
    0.81
    vertising
    0.80
    odore
    0.79
    xiety
    0.76
    asionally
    0.76
    Activations Density 0.577%

    No Known Activations