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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. 1-RES-JB
    11. 719
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    Explanations

    numeric values followed by specific units of measurement, particularly related to size

    oai_token-act-pair · gpt-3.5-turbo

    measurements and specifications related to real estate properties

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     ABE
    -0.76
    awar
    -0.68
     Gutenberg
    -0.64
    ription
    -0.64
     cac
    -0.63
    EStream
    -0.62
     gasp
    -0.61
    ovie
    -0.60
    utations
    -0.60
    ICAN
    -0.59
    POSITIVE LOGITS
    square
    0.94
    etheless
    0.84
    FontSize
    0.83
    Square
    0.81
    æ©Ł
    0.79
    Shift
    0.77
    tenance
    0.76
    oldown
    0.75
    Mos
    0.74
    alpha
    0.74
    Activations Density 0.022%

    No Known Activations