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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. 4-RES-JB
    11. 4546
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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 @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    udic
    -0.89
    othal
    -0.82
    erer
    -0.70
    ierre
    -0.68
     graz
    -0.68
    nut
    -0.66
    urch
    -0.64
    atron
    -0.63
    nuts
    -0.62
    uve
    -0.61
    POSITIVE LOGITS
    ··
    1.25
    âĢ¢âĢ¢
    0.84
    ·
    0.83
    ¼
    0.83
    sim
    0.75
    ¾
    0.75
     Joined
    0.74
    lat
    0.73
    µ
    0.71
    Pg
    0.71
    Activations Density 0.012%

    No Known Activations