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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. 6-RES-JB
    11. 20404
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    Explanations

    phrases indicating a personal perspective or opinion, specifically using the phrase "I see"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "I see" or variations implying perception or opinion

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     agric
    -0.69
    afort
    -0.67
    initions
    -0.63
    perty
    -0.63
    ÃŃa
    -0.62
    etric
    -0.61
    cé
    -0.61
    inion
    -0.60
     dispers
    -0.59
    trap
    -0.59
    POSITIVE LOGITS
     parallels
    0.87
    dust
    0.79
    awed
    0.79
     visions
    0.78
     eye
    0.77
    WARD
    0.75
    Ĺ
    0.74
     fit
    0.73
     similarities
    0.71
    saw
    0.69
    Activations Density 0.070%

    No Known Activations