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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. 11-RES-JB
    11. 12060
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    INDEX
    Explanations

    places and establishments where specific activities or items are allowed or prohibited

    oai_token-act-pair · gpt-3.5-turbo

    mentions of public places and their accessibility regulations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Intent
    -0.78
     Depth
    -0.74
     Orb
    -0.74
    iment
    -0.69
    XY
    -0.67
     Offensive
    -0.66
     Current
    -0.66
    utan
    -0.66
    orem
    -0.66
     Update
    -0.64
    POSITIVE LOGITS
     malls
    1.57
     workplaces
    1.53
     cafes
    1.49
     restaurants
    1.47
     supermarkets
    1.43
     caf
    1.40
     churches
    1.39
     hotels
    1.37
     kitchens
    1.37
     museums
    1.36
    Activations Density 0.172%

    No Known Activations