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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. 2614
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    Explanations

    words related to home improvement and maintenance, specifically flooring and tools

    oai_token-act-pair · gpt-3.5-turbo

    words related to food or flavors

    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
    BIL
    -0.68
    RAL
    -0.68
     subcontract
    -0.67
     pleas
    -0.66
    hood
    -0.63
     Pupp
    -0.61
    EMENT
    -0.60
     contractor
    -0.60
     bargaining
    -0.60
     living
    -0.58
    POSITIVE LOGITS
    avour
    1.38
    oppy
    1.34
    owers
    1.34
    uffy
    1.32
    avored
    1.28
    oyd
    1.26
    inders
    1.23
    uid
    1.23
    urry
    1.22
    orescent
    1.21
    Activations Density 0.019%

    No Known Activations