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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. 17793
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    Explanations

    ingredients and cooking actions, particularly those related to seasoning

    oai_token-act-pair · gpt-3.5-turbo

    culinary ingredients and measurements, particularly involving salt and pepper

    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
    ouver
    -0.79
    ikuman
    -0.76
    ombo
    -0.69
    roups
    -0.67
    ufact
    -0.66
    quarters
    -0.66
    INGTON
    -0.65
    ovie
    -0.65
    Jr
    -0.63
    anian
    -0.63
    POSITIVE LOGITS
     flats
    0.72
    ioxide
    0.68
    ascript
    0.63
     borders
    0.63
    aternity
    0.62
     specificity
    0.62
    ilege
    0.59
     secrecy
    0.59
     border
    0.59
     Tob
    0.59
    Activations Density 0.469%

    No Known Activations