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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. 0-RES-JB
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    Explanations

    references to cows and related products and concepts

    oai_token-act-pair · gpt-3.5-turbo

    references to cows and related concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Brighton
    -0.75
    tails
    -0.72
    olis
    -0.72
     Assessment
    -0.70
    theless
    -0.68
    ital
    -0.68
    IPS
    -0.68
    ui
    -0.67
     Puzzles
    -0.67
     Tours
    -0.67
    POSITIVE LOGITS
     cow
    3.86
     cows
    2.74
    cow
    2.48
    Cow
    1.99
     Cow
    1.90
     cattle
    1.71
     calf
    1.59
     buffalo
    1.56
     herd
    1.54
     goat
    1.45
    Activations Density 0.019%

    No Known Activations