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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. 0-RES-JB
    11. 7735
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    INDEX
    Explanations

    mentions of central locations or entities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to central concepts or authorities

    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
    Buzz
    -0.71
    Pixel
    -0.69
    hee
    -0.67
    estyles
    -0.67
    Pack
    -0.65
    successfully
    -0.63
    Girl
    -0.63
    ~~
    -0.63
    NFL
    -0.63
     Melania
    -0.62
    POSITIVE LOGITS
     central
    3.65
    central
    2.40
     centrally
    2.20
    Central
    2.14
     Central
    1.87
     centralized
    1.58
     peripheral
    1.50
     centre
    1.36
     decentral
    1.28
     periphery
    1.28
    Activations Density 0.018%

    No Known Activations