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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. 1615
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    Explanations

    keywords related to large-scale operations or entities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to large-scale operations or concepts

    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
    oother
    -0.83
    adelphia
    -0.77
    quet
    -0.73
    bright
    -0.71
    phis
    -0.71
    irlf
    -0.70
    then
    -0.70
    usky
    -0.70
    another
    -0.69
    pload
    -0.69
    POSITIVE LOGITS
     inspection
    0.81
     survival
    0.77
     development
    0.76
     cultivation
    0.75
     interaction
    0.75
     confrontation
    0.74
     administrative
    0.73
     intervention
    0.73
     collision
    0.71
     analytical
    0.71
    Activations Density 0.132%

    No Known Activations