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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. 11-RES-JB
    11. 1097
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    Explanations

    references to a specific entity related to business or media

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "business" and its various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    emonic
    -0.66
     Tarant
    -0.63
     tiss
    -0.61
    othing
    -0.61
     Tant
    -0.59
    gger
    -0.59
    asure
    -0.59
     Arbor
    -0.58
     Wenger
    -0.58
     Tad
    -0.57
    POSITIVE LOGITS
    week
    1.08
    woman
    1.02
    INESS
    0.98
    Desk
    0.98
     Insider
    0.97
    people
    0.92
    Entity
    0.91
    person
    0.89
     Journals
    0.87
    Week
    0.87
    Activations Density 0.037%

    No Known Activations