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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. 1-RES-JB
    11. 14128
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    INDEX
    Explanations

    names of professions, specifically "reporter."

    oai_token-act-pair · gpt-3.5-turbo

    references to reporters and journalists

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sembly
    -0.88
    adies
    -0.83
    umatic
    -0.83
    perm
    -0.80
    emonic
    -0.79
    ensions
    -0.79
    ateral
    -0.77
    yip
    -0.76
    dos
    -0.76
    spring
    -0.75
    POSITIVE LOGITS
     reporter
    1.27
     journalist
    1.01
     photographer
    0.92
     Reporter
    0.91
     reporters
    0.89
     Journalists
    0.89
     columnist
    0.88
     interviewer
    0.84
     writer
    0.81
    ially
    0.80
    Activations Density 0.011%

    No Known Activations