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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. 1-RES-JB
    11. 4649
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    Explanations

    phrases or sentences containing the word "Go" followed by a number representing intensity or importance

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Go" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    creen
    -0.83
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    -0.80
    dimension
    -0.64
     corners
    -0.64
     Jude
    -0.61
    adjusted
    -0.61
    qqa
    -0.61
     Alchemist
    -0.60
     Ridley
    -0.58
    NESS
    -0.58
    POSITIVE LOGITS
    Daddy
    1.01
    ogly
    0.99
    ogl
    0.98
    lems
    0.98
    verning
    0.94
     Go
    0.90
    Go
    0.89
    ethe
    0.86
    GO
    0.80
    og
    0.78
    Activations Density 0.013%

    No Known Activations