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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. 7-RES-JB
    11. 13756
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    Explanations

    mentions of items being provided or installed in specific locations

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "equipped" and its variations in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cott
    -0.73
    amin
    -0.72
    76561
    -0.70
    birth
    -0.68
    apest
    -0.68
    rase
    -0.62
    aji
    -0.61
    apers
    -0.59
     Unch
    -0.58
     Decay
    -0.57
    POSITIVE LOGITS
    oise
    0.88
    equipped
    0.75
     equipped
    0.75
    ments
    0.75
     showc
    0.70
     Swordsman
    0.70
     furnish
    0.69
     bod
    0.69
    bodied
    0.69
    arity
    0.68
    Activations Density 0.043%

    No Known Activations