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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. 16396
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    INDEX
    Explanations

    phrases related to making plans or setting up arrangements

    oai_token-act-pair · gpt-3.5-turbo

    the concept of organization or planning

    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
    lean
    -0.88
    ku
    -0.84
    âĵĺ
    -0.80
    tek
    -0.75
    burgh
    -0.73
    aic
    -0.70
    uish
    -0.70
    gam
    -0.67
    stone
    -0.67
    chant
    -0.67
    POSITIVE LOGITS
     marriages
    1.11
     arrangements
    0.93
     seating
    0.81
     arrang
    0.80
     Parenthood
    0.80
     alliances
    0.76
     weddings
    0.75
     arranging
    0.73
     arranged
    0.72
     affairs
    0.72
    Activations Density 0.052%

    No Known Activations