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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. 1-RES-JB
    11. 7503
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    Explanations

    references to achievements or success, specifically related to being on a podium in a competitive context

    oai_token-act-pair · gpt-3.5-turbo

    references to podiums or competitive placements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alg
    -0.77
    ~~~~~~~~~~~~~~~~
    -0.74
    cise
    -0.73
    hiro
    -0.67
    esthetic
    -0.67
    EE
    -0.66
    ISTORY
    -0.65
    AMI
    -0.65
    olly
    -0.64
    history
    -0.63
    POSITIVE LOGITS
     podium
    1.46
     tremend
    1.08
     seiz
    0.95
     pedest
    0.86
     showc
    0.83
     stalls
    0.81
     announ
    0.78
    ilion
    0.77
    pter
    0.76
    olicy
    0.75
    Activations Density 0.007%

    No Known Activations