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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. 7075
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    Explanations

    references to bulls

    oai_token-act-pair · gpt-3.5-turbo

    references to "bull" or "bulls" in various contexts

    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
    mble
    -0.80
    MENT
    -0.79
    OLOGY
    -0.77
    LY
    -0.74
    liness
    -0.72
    tainment
    -0.72
     Amend
    -0.70
    Rad
    -0.69
    ALLY
    -0.69
    lihood
    -0.69
    POSITIVE LOGITS
    frog
    0.94
    ocks
    0.93
    dog
    0.88
     elephants
    0.87
    fighter
    0.87
     elephant
    0.86
     bull
    0.86
    fights
    0.86
     bulls
    0.86
     sharks
    0.84
    Activations Density 0.005%

    No Known Activations