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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. 6-RES-JB
    11. 23842
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    Explanations

    dates from the year and sequences of numbers

    oai_token-act-pair · gpt-3.5-turbo

    numeric values, particularly years or significant statistical data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ingham
    -0.83
    iday
    -0.81
    igating
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    iped
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    ential
    -0.75
    igators
    -0.75
    ishing
    -0.74
    hou
    -0.73
    entially
    -0.70
    igation
    -0.68
    POSITIVE LOGITS
    teenth
    0.90
    00
    0.82
    393
    0.76
    UTH
    0.75
    ptive
    0.75
    plate
    0.74
    ãģĨ
    0.73
    LECT
    0.72
     millenn
    0.71
    stasy
    0.70
    Activations Density 0.090%

    No Known Activations