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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. 1-RES-JB
    11. 7128
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    Explanations

    the word "and"

    oai_token-act-pair · gpt-3.5-turbo

    the conjunction "and" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    KING
    -0.65
     combust
    -0.61
    VERTISEMENT
    -0.61
    è»
    -0.59
     amnesty
    -0.59
    AMS
    -0.59
     ["
    -0.58
    çIJ
    -0.57
    SPONSORED
    -0.57
    omi
    -0.56
    POSITIVE LOGITS
    romeda
    1.22
    rew
    1.08
    then
    1.00
    hra
    0.94
    rogens
    0.88
    thus
    0.88
    idate
    0.83
    inav
    0.83
    amide
    0.82
    rost
    0.82
    Activations Density 0.031%

    No Known Activations