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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. 5418
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    INDEX
    Explanations

    structured items or systems

    oai_token-act-pair · gpt-3.5-turbo

    references to organization and structuring

    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
    hawks
    -0.82
    fly
    -0.78
    flies
    -0.77
     Yel
    -0.74
    fish
    -0.71
    hood
    -0.71
    bury
    -0.70
    unts
    -0.69
    lymp
    -0.68
     Peninsula
    -0.68
    POSITIVE LOGITS
     structured
    1.16
    urally
    1.12
     behav
    0.92
     restruct
    0.84
     carbohydrates
    0.84
    escription
    0.81
     incent
    0.79
     arrang
    0.78
     misunder
    0.77
     conduc
    0.77
    Activations Density 0.017%

    No Known Activations