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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. 11400
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    INDEX
    Explanations

    specific mentions of the action of making statements or comments

    oai_token-act-pair · gpt-3.5-turbo

    articles ("a" and "an") in various contexts

    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
    Tags
    -0.74
    Mods
    -0.74
    import
    -0.67
    Exper
    -0.67
    MpServer
    -0.67
    enemy
    -0.66
     extinction
    -0.65
    onto
    -0.65
     corpses
    -0.64
    Ingredients
    -0.64
    POSITIVE LOGITS
     statement
    1.23
     nutshell
    1.04
     memo
    1.03
     telephone
    1.00
     tweet
    0.96
     phone
    0.95
     memorandum
    0.94
     emailed
    0.93
    statement
    0.92
     speech
    0.92
    Activations Density 0.070%

    No Known Activations