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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. 7-RES-JB
    11. 11601
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    Explanations

    instances of the verb "saw" followed by an object or action

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "saw" indicating eyewitness testimony

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xus
    -0.75
    itus
    -0.73
    currency
    -0.68
    ÃŃa
    -0.67
    ulum
    -0.65
     agric
    -0.64
    bi
    -0.63
    atre
    -0.61
    onto
    -0.61
    trap
    -0.61
    POSITIVE LOGITS
    dust
    1.10
     firsthand
    0.93
    lights
    0.84
     similarities
    0.78
     parallels
    0.77
    awed
    0.75
     resemb
    0.75
     flashes
    0.72
    yers
    0.71
    inelli
    0.71
    Activations Density 0.091%

    No Known Activations