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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. 9-RES-JB
    11. 14064
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    INDEX
    Explanations

    mentions of various tech companies and products

    oai_token-act-pair · gpt-3.5-turbo

    references to unique geographical locations or features

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    udeb
    -1.03
    soDeliveryDate
    -0.72
    rael
    -0.69
    dyl
    -0.69
    isSpecialOrderable
    -0.66
    itsch
    -0.66
     guiActiveUnfocused
    -0.66
    aphael
    -0.65
    cedented
    -0.65
    hesion
    -0.65
    POSITIVE LOGITS
     Valley
    0.97
     Islands
    0.88
    Gate
    0.85
     Hills
    0.79
    Book
    0.76
     Heights
    0.75
     Oaks
    0.74
     Circle
    0.74
     Grove
    0.73
     Island
    0.73
    Activations Density 0.403%

    No Known Activations