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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. 3-RES-JB
    11. 20321
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    INDEX
    Explanations

    statements or phrases related to goals or objectives

    oai_token-act-pair · gpt-3.5-turbo

    references to objectives or goals in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oles
    -0.87
     Tycoon
    -0.85
    artifacts
    -0.84
    oly
    -0.80
    edition
    -0.76
    olini
    -0.73
    ingers
    -0.72
    oling
    -0.72
     Printed
    -0.71
    letters
    -0.69
    POSITIVE LOGITS
     objective
    0.99
     Objective
    0.92
    ives
    0.85
    ignty
    0.80
     observer
    0.79
     goal
    0.77
     guiActiveUn
    0.76
     objectives
    0.70
    ablishment
    0.70
    IVES
    0.68
    Activations Density 0.009%

    No Known Activations