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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. 6-RES-JB
    11. 6046
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    Explanations

    prices and numerical values in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    monetary values and financial data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     corrid
    -0.64
     conflic
    -0.60
     tremend
    -0.58
    govtrack
    -0.58
    sbm
    -0.57
    omething
    -0.54
    properties
    -0.53
     Investig
    -0.53
    Ĥª
    -0.53
     carbohyd
    -0.53
    POSITIVE LOGITS
     --------------------
    0.64
     âĵĺ
    0.58
     ----------------
    0.57
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    0.55
    .............
    0.55
     Advertisement
    0.55
     (%
    0.54
    malink
    0.53
     âľĶ
    0.52
     %
    0.51
    Activations Density 0.517%

    No Known Activations