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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. 4-RES-JB
    11. 24267
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    oai_token-act-pair · gpt-3.5-turbo

    content related to notable names or figures in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ibles
    -0.28
    cigarettes
    -0.27
    hya
    -0.26
    veh
    -0.26
    20439
    -0.25
    wolves
    -0.25
    soDeliveryDate
    -0.24
    ãĤ§
    -0.24
    hat
    -0.24
    abus
    -0.24
    POSITIVE LOGITS
     thous
    0.26
    .""
    0.24
    )."
    0.24
     vulner
    0.24
    ]."
    0.23
    ).[
    0.22
    .<
    0.21
     myster
    0.21
    ."[
    0.21
    ".[
    0.21
    Activations Density 9.724%

    No Known Activations