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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. 5483
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    INDEX
    Explanations

    the word "Author"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of authorship or attribution

    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
    EMS
    -0.81
    ttes
    -0.75
    tto
    -0.74
     Pist
    -0.68
    ll
    -0.67
    SEE
    -0.67
     Bottle
    -0.64
     Peb
    -0.64
     squared
    -0.63
     wear
    -0.63
    POSITIVE LOGITS
    itatively
    1.37
    itative
    1.36
    itarian
    1.16
    ity
    0.91
    izations
    0.91
    itized
    0.90
    ournals
    0.89
    itors
    0.88
    itive
    0.88
    gements
    0.87
    Activations Density 0.014%

    No Known Activations