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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. 24401
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    Explanations

    special characters, likely characteristic of a specific language or encoding

    oai_token-act-pair · gpt-3.5-turbo

    question marks or interrogative expressions

    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
    Not in Any Lists

    No Comments

    Negative Logits
    xus
    -0.94
    chnology
    -0.81
     deaf
    -0.76
    Downloadha
    -0.74
    emate
    -0.72
     satell
    -0.71
     gestation
    -0.71
    ModLoader
    -0.70
    fruit
    -0.70
     intrig
    -0.69
    POSITIVE LOGITS
    оÐ
    1.12
    ÑĢ
    1.06
    о
    0.99
    ĭ
    0.97
    Ñĥ
    0.96
    е
    0.96
    į
    0.95
    enance
    0.93
    л
    0.93
    а
    0.93
    Activations Density 0.005%

    No Known Activations