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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. 6-RES-JB
    11. 7772
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    Explanations

    specific symbols or characters within the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    phrases related to legal proceedings or news articles mentioning specific individuals

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enei
    -0.67
    opian
    -0.65
     Centauri
    -0.64
     zoo
    -0.64
     level
    -0.64
     drain
    -0.64
     indo
    -0.63
     infring
    -0.63
     alley
    -0.62
     lounge
    -0.61
    POSITIVE LOGITS
    particularly
    0.97
    whose
    0.95
    including
    0.95
    especially
    0.92
    perhaps
    0.92
    ————
    0.91
    again
    0.89
    along
    0.87
    pictured
    0.83
    albeit
    0.82
    Activations Density 0.200%

    No Known Activations