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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. 17042
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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
    arna
    -0.74
     conclud
    -0.73
    rosso
    -0.69
    terday
    -0.66
    iolet
    -0.65
     rib
    -0.65
    NetMessage
    -0.64
     Maple
    -0.64
     Cros
    -0.59
    inated
    -0.58
    POSITIVE LOGITS
    forts
    0.70
    ħĭ
    0.67
    verse
    0.63
     approximation
    0.62
    FORMATION
    0.60
    liest
    0.60
    waters
    0.60
    icter
    0.59
    achu
    0.59
     equivalent
    0.59
    Activations Density 0.148%

    No Known Activations