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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. 4264
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    Explanations

    phrases related to cleanliness or improvement

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the concept of "cleaning up" or "wrapping up."

    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
     Fidel
    -0.66
    Maker
    -0.63
     Abyss
    -0.58
     Boxing
    -0.58
     Maker
    -0.58
     Opening
    -0.58
     Kahn
    -0.55
     deleg
    -0.55
    NetMessage
    -0.55
     Rutherford
    -0.54
    POSITIVE LOGITS
    river
    1.04
    dates
    0.92
    stairs
    0.82
    olicy
    0.80
    votes
    0.78
    rights
    0.78
    roots
    0.77
    outheast
    0.73
    rations
    0.72
    rates
    0.71
    Activations Density 0.103%

    No Known Activations