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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. 19541
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    Explanations

    phrases where people are working together or discussing plans

    oai_token-act-pair · gpt-3.5-turbo

    sections of text that indicate omissions or transitions in thought

    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
    REDACTED
    -0.68
    forms
    -0.65
    odor
    -0.62
    personal
    -0.61
    ions
    -0.58
     Levine
    -0.57
    lets
    -0.57
    more
    -0.57
     gratification
    -0.57
    grounds
    -0.57
    POSITIVE LOGITS
    're
    1.34
     ourselves
    1.23
    've
    1.20
    asel
    1.15
    athered
    1.13
    ibo
    1.04
    aning
    1.01
    arers
    0.99
    lder
    0.96
    eding
    0.95
    Activations Density 0.200%

    No Known Activations