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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. 8656
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    INDEX
    Explanations

    sentences describing the importance or significance of various topics

    oai_token-act-pair · gpt-3.5-turbo

    statements emphasizing the significance or necessity of actions or conditions related to various topics

    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
     delinqu
    -0.68
     Massacre
    -0.67
    Initialized
    -0.66
    fuck
    -0.66
     Mour
    -0.65
     mocking
    -0.64
    /,
    -0.64
     murders
    -0.63
     dismant
    -0.63
     mansion
    -0.63
    POSITIVE LOGITS
     invaluable
    1.53
     crucial
    1.28
     helpful
    1.24
     essential
    1.19
     important
    1.18
     paramount
    1.15
     vital
    1.15
     valuable
    1.13
     sorely
    1.13
     indispensable
    1.10
    Activations Density 0.416%

    No Known Activations