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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. 8-RES-JB
    11. 14832
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    Explanations

    numerical sequences mixed with occasional technical text

    oai_token-act-pair · gpt-3.5-turbo

    strings and characters resembling numerical sequences or codes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Winston
    -0.65
     roadside
    -0.62
     mathemat
    -0.61
     glim
    -0.60
     threaded
    -0.57
     vested
    -0.57
     comp
    -0.55
     Gam
    -0.55
     corrid
    -0.54
     Diver
    -0.54
    POSITIVE LOGITS
    iae
    0.85
    tx
    0.83
    rage
    0.81
    uchi
    0.81
    oops
    0.79
    ei
    0.78
    dn
    0.77
    vous
    0.76
    axis
    0.76
    chu
    0.76
    Activations Density 0.257%

    No Known Activations