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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. 24194
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    Explanations

    phrases related to expressing dissatisfaction or criticism

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "meaning."

    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
    ãĥīãĥ©ãĤ´ãĥ³
    -0.76
    paio
    -0.75
    displayText
    -0.71
    ãĤ³
    -0.71
     WATCHED
    -0.66
    INC
    -0.66
    ideo
    -0.65
    ãĥ³ãĤ¸
    -0.63
    REP
    -0.62
    DERR
    -0.60
    POSITIVE LOGITS
    hedon
    0.81
    ecd
    0.79
    aning
    0.75
    ager
    0.75
    ragon
    0.75
    eful
    0.72
    thood
    0.70
    orf
    0.70
    fter
    0.68
    onymous
    0.68
    Activations Density 0.021%

    No Known Activations