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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. 11-RES-JB
    11. 12061
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    Explanations

    words related to problem-solving or solutions

    oai_token-act-pair · gpt-3.5-turbo

    words related to solving or resolving problems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    rium
    -0.67
    idth
    -0.65
    igel
    -0.63
    letters
    -0.59
    assies
    -0.57
    ramid
    -0.56
     Glover
    -0.56
     Legions
    -0.55
    guyen
    -0.55
    REE
    -0.54
    POSITIVE LOGITS
     by
    1.11
     satisf
    1.10
     administr
    1.07
     peacefully
    0.98
     surg
    0.97
     via
    0.94
     through
    0.92
     diplom
    0.92
     promptly
    0.88
     swiftly
    0.88
    Activations Density 0.221%

    No Known Activations