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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. 74
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    Explanations

    phrases related to research, development, and collaboration in various fields

    oai_token-act-pair · gpt-3.5-turbo

    phrases describing various areas of study or sectors related to research and development

    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
    casters
    -0.76
    [_
    -0.74
    DragonMagazine
    -0.73
    RIP
    -0.73
    rants
    -0.73
    ptoms
    -0.72
    psons
    -0.71
    unal
    -0.70
    eps
    -0.70
    quished
    -0.69
    POSITIVE LOGITS
     academia
    1.17
     relation
    1.16
     conjunction
    1.16
     regards
    1.13
     agriculture
    1.10
     medicine
    1.08
     vitro
    1.06
     terms
    1.06
     combating
    1.04
     neuroscience
    1.03
    Activations Density 0.180%

    No Known Activations