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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. 6032
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    Explanations

    words related to sliding or gliding

    oai_token-act-pair · gpt-3.5-turbo

    references to skiing

    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
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    Negative Logits
    minded
    -0.67
     Mayweather
    -0.66
     vested
    -0.65
    URES
    -0.61
    URE
    -0.60
     sympt
    -0.60
     sanity
    -0.58
     Codes
    -0.58
     writ
    -0.58
    terday
    -0.57
    POSITIVE LOGITS
    ipper
    1.35
    ippers
    1.29
    yrim
    1.27
    irting
    1.14
    oop
    1.14
    ipping
    1.12
    imming
    1.10
    ipp
    1.10
    IPP
    1.09
    irted
    1.06
    Activations Density 0.021%

    No Known Activations