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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. 4-RES-JB
    11. 10833
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    Explanations

    specific chemical compounds and elements

    oai_token-act-pair · gpt-3.5-turbo

    phrases relating to health and biological concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    âĶĢâĶĢ
    -0.67
    etheus
    -0.60
    furt
    -0.55
    CHO
    -0.53
    enhagen
    -0.52
    istani
    -0.51
    idia
    -0.50
    PsyNetMessage
    -0.50
     source
    -0.50
    ãĥ¯ãĥ³
    -0.49
    POSITIVE LOGITS
     Tactics
    0.66
     Meditation
    0.64
    ymes
    0.56
     Tale
    0.56
     Delete
    0.54
     Torment
    0.53
     Beaut
    0.53
    sic
    0.52
     Editing
    0.52
     Dragonbound
    0.52
    Activations Density 1.832%

    No Known Activations