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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. 0-RES-JB
    11. 9772
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    INDEX
    Explanations

    adjectives describing excitement or intensity

    oai_token-act-pair · gpt-3.5-turbo

    words related to the concept of being fair or sustainable

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     turkey
    -0.67
     shooting
    -0.62
     tra
    -0.59
     opener
    -0.59
     Doug
    -0.58
     Fest
    -0.58
     lodge
    -0.57
     cameras
    -0.57
     Bomb
    -0.57
     Pros
    -0.57
    POSITIVE LOGITS
    itable
    4.73
    itably
    3.07
    itability
    2.83
    ited
    1.67
    isable
    1.52
    itative
    1.48
    iting
    1.47
    itation
    1.44
    itations
    1.32
    icable
    1.28
    Activations Density 0.016%

    No Known Activations