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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. 3-RES-JB
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    Explanations

    numerical values related to monetary amounts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of monetary amounts and financial figures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    okin
    -0.70
     Fist
    -0.67
     citiz
    -0.67
    ittle
    -0.66
     Wid
    -0.66
     Rath
    -0.63
    deen
    -0.62
     Tess
    -0.60
     Narr
    -0.59
    achus
    -0.59
    POSITIVE LOGITS
    -$
    1.23
     billion
    0.96
     installments
    0.90
    495
    0.88
    ा
    0.88
    000
    0.85
    995
    0.85
    017
    0.84
     million
    0.83
    00
    0.82
    Activations Density 0.175%

    No Known Activations