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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. 0-RES-JB
    11. 16409
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    Explanations

    proper nouns related to specific individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals and locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     MV
    -0.82
     om
    -0.78
    amn
    -0.77
     dat
    -0.76
     EVENTS
    -0.72
    aii
    -0.71
     nom
    -0.70
    uclear
    -0.68
     omn
    -0.67
     orig
    -0.67
    POSITIVE LOGITS
     Stoke
    3.86
     Sunderland
    1.49
     Notting
    1.48
     Swansea
    1.32
     Chong
    1.28
     Norwich
    1.24
     Leicester
    1.23
     Brist
    1.18
     Preston
    1.17
     Newcastle
    1.15
    Activations Density 0.033%

    No Known Activations