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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. 20876
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    Explanations

    specific dates mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    end punctuation, specifically periods

    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
    ature
    -0.87
    atures
    -0.80
    efully
    -0.76
    ATURE
    -0.76
    æĪ¦
    -0.74
    notice
    -0.71
     Mehran
    -0.70
    itative
    -0.67
    «ĺ
    -0.64
    istani
    -0.64
    POSITIVE LOGITS
     butcher
    0.71
    rolling
    0.69
     Butcher
    0.68
    ipment
    0.67
    pel
    0.66
     Coffin
    0.66
    fixes
    0.63
    Bind
    0.62
     Camel
    0.62
    Desktop
    0.62
    Activations Density 0.000%

    No Known Activations