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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. 16720
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    Explanations

    phrases or sentences emphasizing the extreme or highest level of something

    oai_token-act-pair · gpt-3.5-turbo

    the repetition of the word "very" to emphasize points

    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
    olor
    -0.83
    onis
    -0.80
    orno
    -0.73
    ensis
    -0.73
    sburgh
    -0.72
    arsity
    -0.71
    imus
    -0.71
    atown
    -0.70
    osal
    -0.69
    ertodd
    -0.69
    POSITIVE LOGITS
     fertile
    0.71
     undefined
    0.71
     opposite
    0.70
     seldom
    0.69
     faint
    0.68
     rare
    0.67
     low
    0.67
     handy
    0.66
     rarely
    0.66
     fortunate
    0.66
    Activations Density 0.044%

    No Known Activations