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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. 2-RES-JB
    11. 14643
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    Explanations

    terms related to various professions, such as builders, manufacturers, conductors, contractors, and sellers

    oai_token-act-pair · gpt-3.5-turbo

    terms related to roles in the construction and manufacturing industry

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    und
    -0.85
    uits
    -0.85
    awks
    -0.84
    cale
    -0.83
    avers
    -0.82
    umph
    -0.81
    ourcing
    -0.79
    etting
    -0.77
    ilver
    -0.75
    ighters
    -0.75
    POSITIVE LOGITS
    itatively
    0.85
    lier
    0.80
     extraord
    0.80
     reviewer
    0.77
    ufact
    0.75
    holder
    0.73
     builder
    0.72
    stown
    0.70
    builder
    0.70
     competitor
    0.69
    Activations Density 0.134%

    No Known Activations