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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
    11. 3713
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    Explanations

    pricing information and ranges

    oai_token-act-pair · gpt-3.5-turbo

    monetary values or 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
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    Negative Logits
     Gors
    -0.88
     Hilbert
    -0.81
     Pru
    -0.76
     Spit
    -0.76
     Reborn
    -0.76
     Dare
    -0.75
     Sidd
    -0.74
     Meteor
    -0.74
     Hasan
    -0.72
    umo
    -0.71
    POSITIVE LOGITS
    /$
    1.20
    -$
    1.19
    =$
    0.90
    cffffcc
    0.87
    arag
    0.86
    @#
    0.81
    ($
    0.80
    paying
    0.76
    assed
    0.76
    credit
    0.75
    Activations Density 0.008%

    No Known Activations