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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. 1-RES-JB
    11. 22158
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    INDEX
    Explanations

    keywords related to large-scale businesses or operations

    oai_token-act-pair · gpt-3.5-turbo

    references to market size and quantity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    erved
    -0.75
    kaya
    -0.74
    living
    -0.68
     redistributed
    -0.67
    practice
    -0.67
    benefit
    -0.67
    kefeller
    -0.66
    mable
    -0.62
    DEP
    -0.62
    sequence
    -0.61
    POSITIVE LOGITS
    arge
    1.45
    pole
    0.83
    ments
    0.82
    llan
    0.79
    aux
    0.78
    anty
    0.76
     Lank
    0.75
    ange
    0.75
    erson
    0.74
    ress
    0.72
    Activations Density 0.005%

    No Known Activations