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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. 1765
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    INDEX
    Explanations

    adjectives related to intensity or force

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with urgency and decisive actions

    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
    stories
    -1.06
    groups
    -0.99
    hops
    -0.98
    aunts
    -0.92
    ometers
    -0.91
    units
    -0.90
     Rooms
    -0.90
    guards
    -0.89
    events
    -0.88
    tags
    -0.88
    POSITIVE LOGITS
     uptick
    1.17
     rethink
    1.16
     crackdown
    1.12
     breakdown
    1.10
     commitment
    1.09
     shortage
    1.08
     moratorium
    1.07
     reversal
    1.07
     apology
    1.06
     resurgence
    1.06
    Activations Density 0.310%

    No Known Activations