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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. 2-RES-JB
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    Explanations

    mentions of the word "owl"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "owl."

    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
     fracturing
    -0.63
     staffed
    -0.63
     Nex
    -0.61
     centrif
    -0.61
     Kle
    -0.59
     Palestin
    -0.59
     Normandy
    -0.59
     fractured
    -0.59
    Downloadha
    -0.59
     Benz
    -0.59
    POSITIVE LOGITS
    owl
    1.67
    sburg
    1.19
    ows
    0.98
    oon
    0.98
    ibrary
    0.96
    \\\\\\\\
    0.91
    oons
    0.89
    sworth
    0.89
    lihood
    0.88
    ahoo
    0.87
    Activations Density 0.009%

    No Known Activations