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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 10660
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    Explanations

    words related to ingredients and cooking instructions, especially celery

    oai_token-act-pair · gpt-3.5-turbo

    references to celery within 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
    ulated
    -0.79
    ulative
    -0.77
    eston
    -0.75
    PF
    -0.74
    ested
    -0.69
    ifier
    -0.68
    embed
    -0.68
    ers
    -0.66
    ulating
    -0.64
    Winged
    -0.64
    POSITIVE LOGITS
    flies
    0.93
    llan
    0.88
    tery
    0.86
    nces
    0.83
    onica
    0.76
    ea
    0.76
    oire
    0.75
    yy
    0.73
     shelves
    0.71
    utical
    0.71
    Activations Density 0.061%

    No Known Activations