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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. 8-RES-JB
    11. 20500
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    INDEX
    Explanations

    phrases indicating high levels of certainty or potentiality

    oai_token-act-pair · gpt-3.5-turbo

    modal verbs indicating ability or possibility

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -0.78
    CI
    -0.66
     Lis
    -0.62
    IL
    -0.60
     CI
    -0.59
     wherever
    -0.59
     Rolls
    -0.58
     announcements
    -0.58
     revolving
    -0.57
     Cutting
    -0.57
    POSITIVE LOGITS
     afford
    1.13
     comprehend
    1.00
     overcome
    0.94
     muster
    0.94
     convince
    0.92
     withstand
    0.90
     adequately
    0.89
     cope
    0.89
     conceive
    0.88
     justify
    0.88
    Activations Density 0.134%

    No Known Activations