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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. 13465
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    INDEX
    Explanations

    proper nouns or specific entities that are notable or recognized in the context provided

    oai_token-act-pair · gpt-3.5-turbo

    significant or noteworthy information

    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
    prep
    -0.76
    hell
    -0.75
    ©¶æ
    -0.72
    claimer
    -0.72
    PLIED
    -0.71
    alyst
    -0.69
    ieri
    -0.69
    otiation
    -0.68
     probing
    -0.68
    amar
    -0.66
    POSITIVE LOGITS
     absence
    1.14
     absent
    1.08
     exception
    1.05
     exceptions
    1.03
     accomplishments
    0.90
     successes
    0.87
     omission
    0.86
     accomplishment
    0.86
     differences
    0.85
     achievements
    0.82
    Activations Density 0.095%

    No Known Activations