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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. 12632
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    INDEX
    Explanations

    phrases indicating the potential success or impact of a certain action or proposal

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating potential outcomes or predictions

    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
    âĦ¢:
    -0.82
     Crimson
    -0.73
    gian
    -0.68
     Noir
    -0.67
     Lines
    -0.67
    ogun
    -0.66
     Doodle
    -0.65
     ¶
    -0.65
     RTX
    -0.64
     Mansion
    -0.63
    POSITIVE LOGITS
     beneficial
    1.40
     useful
    1.36
     helpful
    1.28
     able
    1.25
     invaluable
    1.21
     advantageous
    1.17
     detrimental
    1.17
     fruitful
    1.15
     profitable
    1.12
     effective
    1.10
    Activations Density 0.261%

    No Known Activations