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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. 1-RES-JB
    11. 11462
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    Explanations

    terms related to large-scale projects or initiatives

    oai_token-act-pair · gpt-3.5-turbo

    mentions of undertakings and projects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    opian
    -0.75
     slic
    -0.73
    ging
    -0.71
    cer
    -0.68
    ible
    -0.68
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.68
    gey
    -0.67
    bian
    -0.66
    aphael
    -0.65
    ibly
    -0.64
    POSITIVE LOGITS
     undert
    1.05
     undertaking
    0.76
    hower
    0.75
    fleet
    0.73
    acqu
    0.70
     disclaimer
    0.69
    omething
    0.68
    ale
    0.68
    akings
    0.67
     Powers
    0.67
    Activations Density 0.031%

    No Known Activations