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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. 3-RES-JB
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    Explanations

    the word "Thou" from a religious or archaic context

    oai_token-act-pair · gpt-3.5-turbo

    archaic or biblical language, specifically terms of address and related pronouns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enhagen
    -0.92
    ipal
    -0.87
    itar
    -0.86
    imov
    -0.83
    ido
    -0.81
    VD
    -0.81
    WAR
    -0.75
    IFIC
    -0.75
    ovic
    -0.74
    este
    -0.73
    POSITIVE LOGITS
     thou
    1.03
     Thou
    0.93
     thee
    0.87
     shalt
    0.85
     thy
    0.84
     unto
    0.81
    selves
    0.80
    \\\\\\\\\\\\\\\\
    0.79
    oak
    0.78
     sweat
    0.75
    Activations Density 0.018%

    No Known Activations