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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. 11-RES-JB
    11. 397
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    Explanations

    verbs indicating movement or action

    oai_token-act-pair · gpt-3.5-turbo

    verbs and phrases indicating movement or travel

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Palestin
    -0.75
    XP
    -0.66
    çĦ
    -0.59
     BIT
    -0.57
    FE
    -0.56
    asus
    -0.55
    NAME
    -0.54
     Highly
    -0.54
     Mysteries
    -0.54
     HA
    -0.54
    POSITIVE LOGITS
     into
    0.98
     onstage
    0.95
     forward
    0.93
     backwards
    0.91
     [
    0.91
     through
    0.90
     back
    0.88
     out
    0.88
     down
    0.85
     around
    0.83
    Activations Density 0.138%

    No Known Activations