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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
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    Explanations

    the phrase "bottom line."

    oai_token-act-pair · gpt-3.5-turbo

    phrases or references to "the bottom line" in discussions or assessments

    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
    thouse
    -0.89
    Äĩ
    -0.81
    asca
    -0.75
    sure
    -0.74
    kson
    -0.70
    qua
    -0.69
    apo
    -0.67
    issance
    -0.67
    mun
    -0.66
    ickr
    -0.65
    POSITIVE LOGITS
    bottom
    0.90
     drawer
    0.86
    Bottom
    0.83
     bottom
    0.81
    most
    0.80
     margin
    0.78
    beard
    0.77
     bracket
    0.77
    faced
    0.73
    lander
    0.72
    Activations Density 0.014%

    No Known Activations