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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. 11276
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    Explanations

    dates or events expressed as "Week of [Month] [Day]"

    oai_token-act-pair · gpt-3.5-turbo

    terms related to schedules and routes, particularly in the context of transport

    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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    Negative Logits
    ardless
    -0.64
     Mercy
    -0.61
     COM
    -0.56
     Curse
    -0.55
     Rash
    -0.54
     compressed
    -0.54
     Heroic
    -0.54
     Emily
    -0.53
     Impact
    -0.53
     Flash
    -0.53
    POSITIVE LOGITS
    ģĸ
    0.84
    oshenko
    0.81
    ŃĶ
    0.72
    ersen
    0.72
    opian
    0.70
    oln
    0.69
    uxe
    0.68
    ĸļ
    0.67
    ©¶æ¥µ
    0.67
    ciplinary
    0.66
    Activations Density 0.123%

    No Known Activations