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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. 11-RES-JB
    11. 13412
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    Explanations

    specific mentions of different levels of professional position or rank, particularly the term "entry" followed by a number indication

    oai_token-act-pair · gpt-3.5-turbo

    references to entry-level positions or roles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    icz
    -0.77
    rior
    -0.66
    rica
    -0.65
    ecause
    -0.64
    ishes
    -0.62
    outube
    -0.59
    achu
    -0.57
    Friends
    -0.57
    rely
    -0.56
    gans
    -0.56
    POSITIVE LOGITS
    prising
    1.05
    way
    0.98
     INTO
    0.91
     into
    0.90
    ways
    0.87
    prise
    0.85
    tain
    0.85
    prises
    0.84
     fee
    0.81
    taining
    0.81
    Activations Density 0.048%

    No Known Activations