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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. 22842
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    Explanations

    references to monetary values or statistics

    oai_token-act-pair · gpt-3.5-turbo

    monetary values and financial statistics

    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
    ande
    -0.48
    laws
    -0.48
    acas
    -0.48
    Reviewer
    -0.47
     Collider
    -0.47
    evin
    -0.46
    bris
    -0.45
    mates
    -0.44
    íķ
    -0.42
     pse
    -0.42
    POSITIVE LOGITS
     percent
    0.76
     apiece
    0.73
     000
    0.71
    %
    0.67
     million
    0.66
    million
    0.64
     thousand
    0.64
    %%
    0.63
    00
    0.62
     cubic
    0.62
    Activations Density 0.612%

    No Known Activations