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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. 17596
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    INDEX
    Explanations

    references to the word "necessary" and related phrases

    oai_token-act-pair · gpt-3.5-turbo

    references to requirements or prerequisites

    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
    Not in Any Lists

    No Comments

    Negative Logits
    arer
    -0.87
    hey
    -0.86
    ĸļ
    -0.84
    gemony
    -0.84
    peak
    -0.81
    lan
    -0.80
    Cola
    -0.77
    trump
    -0.75
    omed
    -0.74
    heed
    -0.74
    POSITIVE LOGITS
     paperwork
    1.11
     amount
    1.07
     components
    1.04
     ingredients
    1.01
     permissions
    0.97
     materials
    0.92
     amounts
    0.92
     portion
    0.91
     portions
    0.91
     energies
    0.88
    Activations Density 0.113%

    No Known Activations