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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 4-RES-JB
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    Explanations

    references to different types of medals in sports competitions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various types of medals in competitive contexts

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

    No Comments

    Negative Logits
    nu
    -0.73
    rir
    -0.67
    OME
    -0.67
    Phase
    -0.65
     PLAN
    -0.64
     Lerner
    -0.63
    BOOK
    -0.63
    Beg
    -0.63
    yll
    -0.63
    scripts
    -0.63
    POSITIVE LOGITS
     medal
    1.26
     medals
    1.10
     Medal
    1.03
     Prize
    0.82
     Medals
    0.80
    gio
    0.78
    animous
    0.78
    inal
    0.77
     trophies
    0.75
     Winner
    0.75
    Activations Density 0.015%

    No Known Activations