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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. 8-RES-JB
    11. 8649
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    Explanations

    actions or verbs related to physical activities

    oai_token-act-pair · gpt-3.5-turbo

    action words related to activities and behaviors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rin
    -0.64
    ortment
    -0.59
    nets
    -0.57
     Flavoring
    -0.57
    arty
    -0.56
    emonic
    -0.56
    nton
    -0.56
    hon
    -0.56
    las
    -0.56
    brew
    -0.55
    POSITIVE LOGITS
     freely
    0.81
     responsibly
    0.80
     safely
    0.80
     excessively
    0.79
     differently
    0.77
     alongside
    0.76
     anyway
    0.75
     confidently
    0.75
     without
    0.74
     elsewhere
    0.74
    Activations Density 0.721%

    No Known Activations