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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. 14374
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    Explanations

    numbers associated with dates or quantities

    oai_token-act-pair · gpt-3.5-turbo

    instances of numerical values

    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
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    No Comments

    Negative Logits
    ophon
    -0.82
    paio
    -0.73
    sein
    -0.68
    ĸļ
    -0.65
    ei
    -0.63
    yle
    -0.63
    icago
    -0.62
    atsu
    -0.61
    ichick
    -0.61
    atis
    -0.61
    POSITIVE LOGITS
    th
    0.90
    %-
    0.90
    isher
    0.89
    60
    0.89
    %:
    0.87
    ishing
    0.86
    ishers
    0.86
    00
    0.86
    50
    0.84
    %
    0.84
    Activations Density 0.101%

    No Known Activations