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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 2687
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    INDEX
    Explanations

    statements that are described as clear or evident

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "clearly" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    umption
    -0.75
    alez
    -0.72
    oleon
    -0.69
    ucky
    -0.69
    uese
    -0.68
    anish
    -0.67
    urch
    -0.66
    ourke
    -0.66
    pring
    -0.66
    lé
    -0.64
    POSITIVE LOGITS
     deline
    0.94
     differentiated
    0.82
     spelled
    0.80
     distinguish
    0.79
     identifiable
    0.79
     marked
    0.78
    IFIED
    0.76
    Effective
    0.76
     contrad
    0.75
     differentiate
    0.75
    Activations Density 0.019%

    No Known Activations