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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. 2352
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    INDEX
    Explanations

    words related to sources of information or entities influencing a situation

    oai_token-act-pair · gpt-3.5-turbo

    elements related to sources and conditions that can cause danger or hazards

    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
    Not in Any Lists

    No Comments

    Negative Logits
    Mont
    -0.95
     Chou
    -0.94
     Kidd
    -0.94
     Ky
    -0.91
    neum
    -0.86
    gray
    -0.83
    Ky
    -0.83
    uum
    -0.82
    ault
    -0.82
     Bulg
    -0.81
    POSITIVE LOGITS
     Source
    1.28
     source
    1.15
    Source
    1.13
    source
    1.12
    ource
    1.08
    SOURCE
    1.04
     Foster
    0.99
    src
    0.94
     Savage
    0.91
     sources
    0.91
    Activations Density 0.347%

    No Known Activations