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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. 6-RES-JB
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    Explanations

    proper nouns, specifically names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and names associated with specific individuals or entities

    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
    orrow
    -0.78
    imately
    -0.63
     Leviathan
    -0.63
     food
    -0.63
     pity
    -0.61
     foods
    -0.61
    matic
    -0.61
    arily
    -0.60
     squats
    -0.60
     skelet
    -0.60
    POSITIVE LOGITS
    cible
    0.92
    govtrack
    0.90
    icts
    0.84
    gewater
    0.83
    ken
    0.81
    aez
    0.81
    lder
    0.79
    ãĥĥ
    0.79
    geoning
    0.77
    icator
    0.75
    Activations Density 0.047%

    No Known Activations