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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
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    text related to tree bark

    oai_token-act-pair · gpt-3.5-turbo

    references to "bark" and "barking," particularly in relation to dogs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ZI
    -0.73
    $$$$
    -0.73
    isition
    -0.68
    vre
    -0.68
    ursed
    -0.68
    berman
    -0.68
    egal
    -0.67
    $$
    -0.66
    ugal
    -0.66
    ULT
    -0.65
    POSITIVE LOGITS
     Bark
    1.15
     bark
    1.11
     barking
    0.87
    \\\\\\\\
    0.80
     Cosponsors
    0.77
    geon
    0.77
    ertodd
    0.76
    dale
    0.73
    Ħ¢
    0.70
    iffs
    0.68
    Activations Density 0.007%

    No Known Activations