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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. 12-RES-JB
    11. 4989
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    Explanations

    ingredients and cooking instructions for various dishes

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    the word "pe" and its variations, particularly in reference to "pears" or similar food-related contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    OME
    -0.58
     implicitly
    -0.58
     neglected
    -0.57
     adm
    -0.57
     Ended
    -0.56
     confounding
    -0.56
     sourcing
    -0.56
     outsourcing
    -0.56
     flaw
    -0.56
     misrepresent
    -0.55
    POSITIVE LOGITS
    oples
    1.50
    anut
    1.43
    pper
    1.30
    arl
    1.27
    cific
    1.23
    cial
    1.20
    asant
    1.16
    ggy
    1.12
    anuts
    1.12
    pperc
    1.11
    Activations Density 0.018%

    No Known Activations