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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. 9-RES-JB
    11. 13879
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    Explanations

    phrases related to introducing something or someone

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "introduce" and variations of it

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Immunity
    -0.70
     Danish
    -0.68
     Uniform
    -0.65
     Bulgarian
    -0.63
     Beaut
    -0.61
     prevailing
    -0.61
    BACK
    -0.60
     Io
    -0.60
     firsthand
    -0.59
     Graves
    -0.58
    POSITIVE LOGITS
    cing
    1.73
    ctory
    1.70
    ctions
    1.69
    ced
    1.47
    cer
    1.45
    cible
    1.42
    cers
    1.36
    ctive
    1.35
    ction
    1.34
    ce
    1.32
    Activations Density 0.087%

    No Known Activations