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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. 7-RES-JB
    11. 4096
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    INDEX
    Explanations

    verbs expressing a tendency or inclination towards certain actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express habitual actions or tendencies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Canary
    -0.73
    Reviewed
    -0.66
    lings
    -0.65
    hello
    -0.65
    yet
    -0.64
    asus
    -0.63
    bats
    -0.63
    specified
    -0.62
    eday
    -0.61
    terday
    -0.61
    POSITIVE LOGITS
     accumulate
    1.05
     stick
    1.02
     prioritize
    1.00
     attract
    1.00
     rely
    0.98
     lose
    0.98
     attach
    0.98
     resemble
    0.96
     settle
    0.95
     dominate
    0.95
    Activations Density 0.065%

    No Known Activations