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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. 10-RES-JB
    11. 1213
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    INDEX
    Explanations

    adjectives or adverbs describing speed or intensity

    oai_token-act-pair · gpt-3.5-turbo

    descriptors associated with quickness or immediate actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     constructs
    -1.05
    units
    -1.04
    sites
    -0.96
    features
    -0.93
    events
    -0.89
    groups
    -0.87
    ometers
    -0.87
    items
    -0.85
     documents
    -0.85
    posts
    -0.84
    POSITIVE LOGITS
     glance
    1.12
     chuckle
    1.09
     handshake
    1.08
     smile
    1.08
     dose
    1.07
     laugh
    1.05
     grin
    1.05
     reminder
    1.04
     apology
    1.03
     breeze
    1.03
    Activations Density 0.304%

    No Known Activations