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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. 5030
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    Explanations

    specific names and announcements

    oai_token-act-pair · gpt-3.5-turbo

    announcements related to contracts, signings, and personnel changes

    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
    arser
    -0.69
     Simpl
    -0.68
    cest
    -0.64
     simpler
    -0.63
     predictable
    -0.62
     calculates
    -0.61
     logic
    -0.59
     measuring
    -0.59
     gau
    -0.59
     maze
    -0.59
    POSITIVE LOGITS
     resign
    1.09
     resigned
    1.00
     joining
    0.99
     retiring
    0.97
     resignation
    0.92
     MIA
    0.92
     died
    0.88
     quitting
    0.88
     deceased
    0.88
     audition
    0.88
    Activations Density 0.637%

    No Known Activations