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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. 24218
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    Explanations

    references to the TV show "Doctor Who."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Doctor Who."

    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
    rations
    -0.87
    ģ«
    -0.76
    âĸ¬
    -0.68
    ration
    -0.66
     shaping
    -0.66
     heating
    -0.65
     drying
    -0.65
     adequ
    -0.63
     prin
    -0.61
    rator
    -0.60
    POSITIVE LOGITS
    soever
    1.05
    verse
    0.78
    emouth
    0.77
    stone
    0.73
    abouts
    0.73
     Came
    0.73
    itte
    0.73
    iw
    0.71
    istle
    0.71
    isen
    0.71
    Activations Density 0.017%

    No Known Activations