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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. 2-RES-JB
    11. 14747
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    INDEX
    Explanations

    comparative adjectives denoting heightened qualities

    oai_token-act-pair · gpt-3.5-turbo

    descriptors related to intensity or elevation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    advertising
    -0.79
    etition
    -0.73
    DC
    -0.69
    shire
    -0.68
    Armor
    -0.67
    EP
    -0.67
    HF
    -0.66
    EVA
    -0.66
    este
    -0.65
    MA
    -0.65
    POSITIVE LOGITS
     than
    1.49
     Than
    1.30
    than
    1.21
     "$:/
    1.04
     ado
    0.82
    getic
    0.78
    iating
    0.77
     behaved
    0.76
     sibling
    0.75
    nces
    0.75
    Activations Density 0.041%

    No Known Activations