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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. 10-RES-JB
    11. 4876
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    Explanations

    mentions of locations related to bodies of water, particularly seas

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     hoops
    -0.63
     Sabha
    -0.62
     Andersen
    -0.61
     Pwr
    -0.60
     Bennett
    -0.59
     clicked
    -0.57
     Bray
    -0.57
    »Ĵ
    -0.56
     Bills
    -0.56
     Phelps
    -0.56
    POSITIVE LOGITS
    aults
    0.87
    fried
    0.85
    ecast
    0.82
    ault
    0.79
    uku
    0.76
    ember
    0.76
    omnia
    0.76
    eper
    0.72
    ucker
    0.71
    itute
    0.70
    Activations Density 0.074%

    No Known Activations