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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. 8-RES-JB
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    Explanations

    the word "Cow"

    oai_token-act-pair · gpt-3.5-turbo

    references to "Cow" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arial
    -0.79
     Extend
    -0.77
    mith
    -0.69
    hift
    -0.67
    UTC
    -0.66
     satell
    -0.64
    mble
    -0.63
     overwhelming
    -0.62
    ators
    -0.62
     occas
    -0.62
    POSITIVE LOGITS
    boys
    1.54
    ritten
    1.34
    ards
    1.33
    riter
    1.28
    girl
    1.08
    boy
    1.08
    loads
    1.05
    ork
    1.05
    dh
    1.01
    arded
    1.00
    Activations Density 0.036%

    No Known Activations