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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. 9-RES-JB
    11. 22682
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    INDEX
    Explanations

    entities associated with specific roles or positions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to audiences or groups of people being addressed or engaged

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sole
    -0.67
    kun
    -0.65
    iasis
    -0.63
    cer
    -0.61
    OUS
    -0.60
    AV
    -0.59
    rection
    -0.58
     Presence
    -0.58
     Encyclopedia
    -0.58
    Solution
    -0.57
    POSITIVE LOGITS
    hip
    1.05
    hips
    0.96
     nationwide
    0.94
    paces
    0.94
    folk
    0.93
     who
    0.88
     worldwide
    0.86
     everywhere
    0.86
    erv
    0.86
    ervatives
    0.84
    Activations Density 0.306%

    No Known Activations