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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. 13703
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    Explanations

    mentions of partnerships or collaborations

    oai_token-act-pair · gpt-3.5-turbo

    references to partnerships and collaboration

    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
    ibrary
    -0.81
    aston
    -0.79
    SpaceEngineers
    -0.71
    ãĥ©ãĥ³
    -0.71
    veyard
    -0.68
    grim
    -0.66
    ux
    -0.66
     Maiden
    -0.66
    kefeller
    -0.65
    ihil
    -0.65
    POSITIVE LOGITS
     partner
    0.96
    hips
    0.92
     partners
    0.92
     Partner
    0.69
    heses
    0.66
    ries
    0.64
    loo
    0.64
    ially
    0.62
    cially
    0.62
    atively
    0.61
    Activations Density 0.038%

    No Known Activations