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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. 2-RES-JB
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    Explanations

    mentions or references to the word "bee."

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "bee" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    icked
    -0.91
    igator
    -0.81
    iability
    -0.77
    igators
    -0.76
    icking
    -0.72
    iant
    -0.72
    ories
    -0.71
    ickers
    -0.69
    opped
    -0.69
    ims
    -0.69
    POSITIVE LOGITS
    bee
    1.28
    pee
    0.98
     Bee
    0.93
     Bunny
    0.93
    butt
    0.89
    keeping
    0.89
    be
    0.86
    bay
    0.85
    bees
    0.85
    Bee
    0.84
    Activations Density 0.009%

    No Known Activations