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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
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    oai_token-act-pair · gpt-3.5-turbo

    items and references related to various topics and contexts

    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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    No Comments

    Negative Logits
    اÙĦ
    -0.50
     Guant
    -0.49
    umbn
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    ],"
    -0.48
    VIDEO
    -0.47
    clusively
    -0.47
    getting
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    gress
    -0.45
    Calling
    -0.44
    azard
    -0.44
    POSITIVE LOGITS
     however
    0.99
     consists
    0.98
     meanwhile
    0.97
     is
    0.90
     ensures
    0.90
     tends
    0.87
     includes
    0.86
     refers
    0.85
     consisted
    0.82
     belongs
    0.81
    Activations Density 1.588%

    No Known Activations