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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. 13365
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    Explanations

    mentions of natural disasters, particularly storms

    oai_token-act-pair · gpt-3.5-turbo

    references to storms and spells

    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
     segment
    -0.85
    urger
    -0.83
     participant
    -0.82
     detainee
    -0.75
     member
    -0.73
     warrant
    -0.72
     document
    -0.71
     piece
    -0.70
     handset
    -0.69
     qualifier
    -0.69
    POSITIVE LOGITS
     storms
    1.96
     spells
    1.70
     traps
    1.67
    storms
    1.50
     creatures
    1.46
     pets
    1.45
     signings
    1.39
     paintings
    1.38
     beasts
    1.38
     monsters
    1.38
    Activations Density 0.042%

    No Known Activations