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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. 23092
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    Explanations

    phrases related to notable figures, organizations, and events

    oai_token-act-pair · gpt-3.5-turbo

    references to notable individuals and their affiliations or contributions

    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
     ---------
    -0.74
    istrate
    -0.74
     omission
    -0.72
     circumstance
    -0.71
     technicians
    -0.71
     recess
    -0.70
     hurdle
    -0.69
     disadvant
    -0.67
    arching
    -0.67
     unpop
    -0.66
    POSITIVE LOGITS
     fame
    0.90
    thood
    0.83
     Furious
    0.70
    ojure
    0.69
    omics
    0.66
    netflix
    0.66
     Grateful
    0.65
    java
    0.63
    weet
    0.63
     Travels
    0.61
    Activations Density 0.422%

    No Known Activations