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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. 6080
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    Explanations

    mentions of legal or governmental authorities

    oai_token-act-pair · gpt-3.5-turbo

    the word "in" and its context in various sentences

    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
    paces
    -0.69
    eous
    -0.68
    sem
    -0.66
    emis
    -0.64
     GAM
    -0.64
    esian
    -0.64
    SS
    -0.63
    apy
    -0.63
     Dating
    -0.63
    Features
    -0.61
    POSITIVE LOGITS
     Canberra
    0.99
     Albany
    0.91
     Ottawa
    0.91
     Washington
    0.90
     Kiev
    0.85
     Philadelphia
    0.82
     Raleigh
    0.82
     Florence
    0.82
     England
    0.81
     Stras
    0.81
    Activations Density 0.224%

    No Known Activations