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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. 6-RES-JB
    6. 20934
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    Explanations

    proper nouns, specifically the name "Mason"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the name "Mason."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    draw
    -0.79
    upon
    -0.73
    lihood
    -0.72
     Wrest
    -0.67
    PsyNetMessage
    -0.65
    stage
    -0.61
     Plenty
    -0.60
    cess
    -0.60
    ppo
    -0.59
    opausal
    -0.59
    POSITIVE LOGITS
    ry
    1.03
     jars
    0.97
    ety
    0.97
     Mason
    0.89
    hattan
    0.87
     jar
    0.83
    uth
    0.81
     Dixon
    0.80
    ason
    0.79
    asonic
    0.76
    Activations Density 0.030%

    No Known Activations