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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. 14000
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    Explanations

    notable individuals and their professional roles or titles

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals and their professional roles or actions

    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
    thumbnails
    -0.76
    MSN
    -0.75
    Custom
    -0.75
    SPA
    -0.74
    SpaceEngineers
    -0.70
    Christmas
    -0.66
    twitch
    -0.65
    atron
    -0.65
    Veh
    -0.65
    engers
    -0.64
    POSITIVE LOGITS
     soc
    1.19
     scholar
    1.13
     professor
    1.11
     researcher
    1.08
     psychologist
    1.07
     philosopher
    1.05
     doctoral
    1.05
     NYU
    1.04
     PhD
    1.03
     historian
    1.03
    Activations Density 0.428%

    No Known Activations