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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
    11. 2970
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    Explanations

    phrases related to research articles being published in journals

    oai_token-act-pair · gpt-3.5-turbo

    references to academic journals in published research

    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
    Not in Any Lists

    No Comments

    Negative Logits
     awoken
    -0.76
    rises
    -0.72
    haul
    -0.69
     blight
    -0.68
    iak
    -0.68
     tatt
    -0.67
    cue
    -0.63
     brick
    -0.63
    bat
    -0.63
    HUD
    -0.62
    POSITIVE LOGITS
     Pediatrics
    1.26
     Proceedings
    1.25
     PLoS
    1.20
     Nature
    1.02
     Lancet
    1.01
     Scientific
    1.01
     Paper
    0.96
     IEEE
    0.95
     Applied
    0.92
     Archives
    0.92
    Activations Density 0.019%

    No Known Activations