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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. 9-RES-JB
    11. 23898
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    Explanations

    prices or costs expressed in cents

    oai_token-act-pair · gpt-3.5-turbo

    monetary values, particularly those pertaining to cents and prices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ework
    -0.74
    idth
    -0.72
    egu
    -0.71
    alist
    -0.68
     skelet
    -0.65
    inous
    -0.63
     Halls
    -0.63
    Dub
    -0.62
    builder
    -0.62
     Graveyard
    -0.62
    POSITIVE LOGITS
     apiece
    1.18
     cents
    1.14
     per
    0.93
    -$
    0.90
     increments
    0.90
     ($
    0.88
     (£
    0.86
     dollars
    0.85
     dollar
    0.83
     sterling
    0.82
    Activations Density 0.052%

    No Known Activations