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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. 23199
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    Explanations

    requirements or conditions needed to perform certain actions or access certain things

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating requirements or actions needed to achieve something

    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
    cloth
    -0.74
    Written
    -0.73
    cycl
    -0.68
    blogspot
    -0.66
    Choice
    -0.66
    TL
    -0.65
    dozen
    -0.63
    testing
    -0.60
    tips
    -0.60
     Spending
    -0.60
    POSITIVE LOGITS
     qualify
    1.30
     survive
    1.26
     achieve
    1.14
     succeed
    1.12
     justify
    1.11
     thrive
    1.10
     properly
    1.09
     satisfy
    1.02
     sustain
    1.01
     ensure
    1.01
    Activations Density 0.219%

    No Known Activations