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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 8431
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    INDEX
    Explanations

    proper nouns related to individuals or locations

    oai_token-act-pair · gpt-3.5-turbo

    specific names or terms related to organizations, places, or notable figures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ariat
    -0.72
    \\
    -0.67
    ient
    -0.65
     Murd
    -0.63
     Coy
    -0.62
     \\
    -0.61
    pard
    -0.61
    igham
    -0.60
     Yard
    -0.60
     Militia
    -0.60
    POSITIVE LOGITS
    ommel
    3.18
    ramer
    2.38
    Sax
    1.31
     ABV
    1.12
    roma
    1.02
     roadside
    1.00
     Vij
    0.99
    USS
    0.91
     trivia
    0.89
    ellen
    0.82
    Activations Density 0.050%

    No Known Activations