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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. 23346
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    INDEX
    Explanations

    phrases where someone is speaking

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "said" indicating speech or quotations

    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
    isphere
    -0.84
    apers
    -0.72
    taboola
    -0.71
    endars
    -0.71
    egu
    -0.69
    artifacts
    -0.67
    eneg
    -0.67
    acts
    -0.65
    mol
    -0.65
    ldom
    -0.64
    POSITIVE LOGITS
     Angela
    0.82
     Ms
    0.82
     Mr
    0.82
     Dr
    0.80
     Nigel
    0.79
     Chris
    0.79
     Teresa
    0.78
     Laura
    0.76
     Theresa
    0.76
     Ellen
    0.76
    Activations Density 0.071%

    No Known Activations