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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. 3-RES-JB
    11. 22598
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    INDEX
    Explanations

    references to scientific or technological progress

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "advances" across 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
    ocular
    -0.78
    sol
    -0.77
    chi
    -0.75
    rug
    -0.73
    mn
    -0.70
    ny
    -0.69
    alty
    -0.61
    nic
    -0.61
    primary
    -0.60
    FU
    -0.60
    POSITIVE LOGITS
     advances
    1.04
    ments
    0.96
     advancement
    0.94
    iage
    0.82
    ocate
    0.81
     Advance
    0.80
     advancements
    0.79
    acebook
    0.76
    onential
    0.76
    pires
    0.75
    Activations Density 0.017%

    No Known Activations