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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. 4-RES-JB
    11. 4384
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    INDEX
    Explanations

    references to sources of power or energy

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to powering devices or systems

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

    No Comments

    Negative Logits
    esan
    -0.89
    roma
    -0.78
    edi
    -0.77
    ordan
    -0.77
     ç¥ŀ
    -0.72
    ei
    -0.71
     Debor
    -0.69
     Bei
    -0.68
    xus
    -0.67
    myra
    -0.67
    POSITIVE LOGITS
     powered
    0.96
     handc
    0.83
     wheelchair
    0.79
     Powered
    0.78
    powered
    0.77
     propelled
    0.76
     powering
    0.71
    undai
    0.70
     outage
    0.70
    atts
    0.70
    Activations Density 0.011%

    No Known Activations