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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 18223
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    Explanations

    phrases related to scientific research and published studies

    oai_token-act-pair · gpt-3.5-turbo

    mentions of scientific studies and their publication details

    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
     caster
    -0.71
     diseng
    -0.70
    gg
    -0.69
     broom
    -0.68
    custom
    -0.65
    ggle
    -0.65
     Franch
    -0.65
    cott
    -0.64
    mist
    -0.63
    ostic
    -0.62
    POSITIVE LOGITS
     published
    1.04
    Explore
    1.01
     Published
    0.98
    ournals
    0.95
     dx
    0.94
     Neuroscience
    0.94
    published
    0.93
     Proceedings
    0.92
     neuroscience
    0.89
    Published
    0.84
    Activations Density 0.244%

    No Known Activations