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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. 6-RES-JB
    11. 4185
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    Explanations

    proper nouns representing people or entities receiving recognition or awards

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "named" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Beg
    -0.74
    stead
    -0.72
    yip
    -0.69
    EMS
    -0.69
    sth
    -0.67
    Requ
    -0.67
    istic
    -0.67
    Enable
    -0.66
    Cu
    -0.66
    mare
    -0.66
    POSITIVE LOGITS
    paces
    1.01
    essee
    0.91
     Cosponsors
    0.87
     names
    0.81
    daq
    0.80
     naming
    0.78
    ames
    0.78
    ularity
    0.73
     winners
    0.69
     aliases
    0.68
    Activations Density 0.024%

    No Known Activations