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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. 22905
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    INDEX
    Explanations

    declarative statements made by authoritative figures

    oai_token-act-pair · gpt-3.5-turbo

    verbs that indicate communication or declaration

    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
    tis
    -0.70
    inis
    -0.65
    assic
    -0.64
    bish
    -0.63
    azeera
    -0.63
    azon
    -0.62
    atos
    -0.61
    chair
    -0.61
    ife
    -0.61
    iffe
    -0.61
    POSITIVE LOGITS
    :"
    0.95
    :]
    0.85
     "âĢ¦
    0.84
     "[
    0.84
     "...
    0.82
     misconceptions
    0.68
     unequivocally
    0.68
    :[
    0.66
     repeatedly
    0.65
     thanking
    0.65
    Activations Density 0.300%

    No Known Activations