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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. 23355
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    INDEX
    Explanations

    the word "Sport" at varying activation levels

    oai_token-act-pair · gpt-3.5-turbo

    terms related to sports

    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
    Not in Any Lists

    No Comments

    Negative Logits
    osures
    -0.71
     bloom
    -0.70
     externalToEVAOnly
    -0.70
     convincing
    -0.68
    utations
    -0.68
    umps
    -0.67
    anked
    -0.64
    haul
    -0.64
    semb
    -0.64
    izons
    -0.64
    POSITIVE LOGITS
    Sport
    1.22
     Sport
    1.10
    scar
    0.96
     Club
    0.93
     Wrestling
    0.90
    Club
    0.90
    sw
    0.90
     Clubs
    0.87
    club
    0.86
    sports
    0.85
    Activations Density 0.013%

    No Known Activations