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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. 12047
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    Explanations

    images or promotional materials such as posters, leaflets, and stickers

    oai_token-act-pair · gpt-3.5-turbo

    references to promotional materials and advertising

    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
    hold
    -0.76
    rium
    -0.73
    ocratic
    -0.73
    PUT
    -0.72
    owder
    -0.71
    ties
    -0.70
    ttle
    -0.69
    UTION
    -0.68
    vid
    -0.68
    shaw
    -0.67
    POSITIVE LOGITS
     posters
    1.20
     billboards
    0.97
     flyers
    0.89
    mith
    0.87
    hooting
    0.86
    ynthesis
    0.85
    peed
    0.84
     wallpaper
    0.79
     paintings
    0.78
     leaflets
    0.78
    Activations Density 0.012%

    No Known Activations