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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    the word "Cow" followed by a mix of characters or words

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Cowart."

    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
    arial
    -0.79
    eways
    -0.73
    egal
    -0.71
     millenn
    -0.69
    Downloadha
    -0.69
     furnish
    -0.69
    iferation
    -0.69
     prosec
    -0.65
     fragmentation
    -0.65
     occas
    -0.65
    POSITIVE LOGITS
    boys
    1.13
    Cow
    1.03
    otle
    0.99
    ritten
    0.99
    ards
    0.96
    zek
    0.95
    girl
    0.93
    girls
    0.91
    boy
    0.89
    licks
    0.88
    Activations Density 0.008%

    No Known Activations