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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. 7-RES-JB
    11. 21545
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    Explanations

    phrases related to legal or justice concepts

    oai_token-act-pair · gpt-3.5-turbo

    verbs related to actions involving movement, change, or negotiation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    grad
    -0.64
    pur
    -0.62
    uploads
    -0.60
    DragonMagazine
    -0.60
    ãĥİ
    -0.60
     fasc
    -0.59
    reditary
    -0.57
    aran
    -0.56
    ãĥĨ
    -0.56
     "$:/
    -0.56
    POSITIVE LOGITS
     oneself
    0.86
     safely
    0.83
    due
    0.82
     freely
    0.81
    uate
    0.80
     anyways
    0.76
     comfortably
    0.75
     anyway
    0.75
    .",
    0.75
     responsibly
    0.75
    Activations Density 0.474%

    No Known Activations