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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. 17842
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    Explanations

    words related to professions or occupations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to professions and roles within various fields

    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
    senal
    -0.73
    Operation
    -0.73
     Facts
    -0.72
    ãĥį
    -0.68
    Prosecut
    -0.63
    GoldMagikarp
    -0.62
     unbeliev
    -0.61
    ãĥĥãĥī
    -0.61
    Experience
    -0.60
     insanity
    -0.59
    POSITIVE LOGITS
    hips
    1.38
    paces
    1.03
    hip
    1.01
     alike
    0.87
    mith
    0.86
    cript
    0.86
     whose
    0.85
     etc
    0.84
    umers
    0.83
    chool
    0.82
    Activations Density 0.553%

    No Known Activations