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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. 16742
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    Explanations

    words related to accolades and awards, particularly those related to the film and music industries

    oai_token-act-pair · gpt-3.5-turbo

    references to award categories and nominations

    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
    IGHTS
    -0.80
     inval
    -0.74
    aucuses
    -0.66
     umb
    -0.64
    tics
    -0.62
     subpoen
    -0.62
     probing
    -0.61
     Bundy
    -0.61
    umat
    -0.61
     compuls
    -0.60
    POSITIVE LOGITS
    seller
    1.19
    iary
    1.10
    iaries
    1.03
     Selling
    0.98
    selling
    0.96
     Practices
    0.95
     Seller
    0.86
     Worst
    0.85
     Overall
    0.85
    sell
    0.83
    Activations Density 0.050%

    No Known Activations