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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. 8-RES-JB
    11. 17070
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    Explanations

    prices or amounts expressed in cents

    oai_token-act-pair · gpt-3.5-turbo

    monetary values related to prices and costs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    idth
    -0.76
    ework
    -0.66
    egu
    -0.65
     skelet
    -0.64
    inous
    -0.64
    adapt
    -0.62
    azel
    -0.62
     à¨
    -0.61
    ese
    -0.61
     Graveyard
    -0.59
    POSITIVE LOGITS
     apiece
    1.21
     cents
    1.10
     per
    1.02
     increments
    0.88
     sterling
    0.86
     ($
    0.84
    clair
    0.83
    -$
    0.82
     (£
    0.79
    ($
    0.75
    Activations Density 0.039%

    No Known Activations