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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. 8833
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    Explanations

    information about statistics and data on various topics

    oai_token-act-pair · gpt-3.5-turbo

    statistical data and numerical information

    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
     Whilst
    -1.19
    Firstly
    -1.19
     Firstly
    -1.04
     whilst
    -0.95
     realise
    -0.86
     realised
    -0.85
    colour
    -0.82
     analyse
    -0.80
     analys
    -0.80
     organis
    -0.78
    POSITIVE LOGITS
     afterward
    0.74
    —"
    0.74
    .''
    0.73
    ___
    0.70
     nonprofit
    0.67
    .]
    0.65
    .''.
    0.64
    .'"
    0.64
    .")
    0.64
     .)
    0.62
    Activations Density 1.866%

    No Known Activations