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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 2-RES-JB
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    Explanations

    the name "Scott"

    oai_token-act-pair · gpt-4-turbo

    mentions of people named "Scott"

    oai_token-act-pair · gpt-3.5-turbo

    the name "Scott" and variations of it in different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĺħ
    -0.91
    ĸļ
    -0.84
    pread
    -0.80
    senal
    -0.74
     reinforcement
    -0.68
     halftime
    -0.66
    ften
    -0.65
    press
    -0.63
     impunity
    -0.63
     Perception
    -0.62
    POSITIVE LOGITS
    Scott
    1.13
    ish
    1.07
    ards
    0.89
    ese
    0.84
    ishly
    0.83
     Scot
    0.80
     Scott
    0.79
     Yard
    0.78
    ism
    0.77
    Scot
    0.75
    Activations Density 0.004%

    No Known Activations