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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. 11-RES-JB
    11. 9275
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    Explanations

    words related to specific code characters

    oai_token-act-pair · gpt-3.5-turbo

    references to events or situations involving significant concern or urgency

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     citiz
    -0.82
     proport
    -0.77
     favoured
    -0.77
     exha
    -0.76
     undermin
    -0.75
     swat
    -0.74
     overth
    -0.72
     scram
    -0.71
     hemor
    -0.71
     leaping
    -0.71
    POSITIVE LOGITS
    ³³³³
    1.19
    âĢ
    1.16
    ³³³³³³³³
    1.11
    ³³³
    1.09
    ³³³³³³³³³³³³³³³³
    1.07
     âĢ
    1.00
    Brend
    0.97
    âĶĢâĶĢâĶĢâĶĢ
    0.97
    posted
    0.95
    ³³
    0.95
    Activations Density 0.214%

    No Known Activations