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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 11519
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    Explanations

    values associated with financial transactions

    oai_token-act-pair · gpt-3.5-turbo

    monetary amounts in the context of sports transactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Aval
    -0.70
     drives
    -0.68
     Wem
    -0.66
     frequ
    -0.63
     Fatal
    -0.63
     Niet
    -0.60
     commissioner
    -0.59
     Mandal
    -0.59
     exha
    -0.59
     Fired
    -0.59
    POSITIVE LOGITS
     (£
    1.27
    illion
    1.22
    -$
    1.03
    £
    0.95
    ilion
    0.95
    âĤ¬
    0.90
     euros
    0.90
    /$
    0.88
     dollars
    0.85
    +.
    0.84
    Activations Density 0.022%

    No Known Activations