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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. 10-RES-JB
    11. 4988
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    Explanations

    specific entities or objects within a context

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "that."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Brexit
    -0.86
    WAR
    -0.83
     Canaver
    -0.83
     Awards
    -0.82
    shed
    -0.80
    ournaments
    -0.76
     Cosponsors
    -0.75
    uits
    -0.75
    Ye
    -0.72
    storms
    -0.72
    POSITIVE LOGITS
     person
    1.29
     item
    1.17
     piece
    1.16
     thing
    1.14
     object
    1.12
     chunk
    1.11
     portion
    1.11
     sucker
    1.08
     particular
    1.07
     blob
    1.06
    Activations Density 0.327%

    No Known Activations