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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 4330
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    Explanations

    mentions of breweries or beer production-related terms

    oai_token-act-pair · gpt-3.5-turbo
    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
    Downloadha
    -0.78
    ciating
    -0.76
    phia
    -0.75
     Telecommunications
    -0.75
     anten
    -0.69
     JPM
    -0.68
    PsyNetMessage
    -0.68
    olphins
    -0.68
    iasis
    -0.67
    iane
    -0.67
    POSITIVE LOGITS
     brewed
    1.22
    eries
    1.14
    pub
    1.00
     brewing
    0.95
     beer
    0.94
     cider
    0.93
     brewer
    0.92
     brew
    0.89
     brewery
    0.89
     brewers
    0.86
    Activations Density 0.052%

    No Known Activations