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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. 11-RES-JB
    11. 3876
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    INDEX
    Explanations

    descriptions of sensory experiences, such as textures, colors, and smells

    oai_token-act-pair · gpt-3.5-turbo

    descriptive adjectives that characterize various qualities or sensory experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tests
    -1.15
    facts
    -0.98
    rencies
    -0.97
    events
    -0.97
    deals
    -0.93
    osponsors
    -0.93
    classes
    -0.93
    friends
    -0.93
    issues
    -0.89
    breakers
    -0.88
    POSITIVE LOGITS
     trickle
    1.09
     breeze
    1.08
     layer
    1.03
     curve
    1.01
     blob
    1.00
     ridge
    0.96
     amount
    0.95
     stream
    0.95
     outline
    0.95
     grin
    0.95
    Activations Density 0.191%

    No Known Activations