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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. 13333
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    Explanations

    verbs related to actions or tasks being carried out

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "perform" and its variations, indicating discussions related to performance or execution of tasks

    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
    raft
    -0.75
    ship
    -0.71
    issue
    -0.69
    rack
    -0.69
    ï¸ı
    -0.66
    cott
    -0.65
    mas
    -0.65
    govtrack
    -0.63
    brow
    -0.62
    fram
    -0.61
    POSITIVE LOGITS
     miracles
    0.95
     CPR
    0.92
     abortions
    0.91
     evaluations
    0.85
     poorly
    0.84
     duties
    0.81
    ificial
    0.77
     stunts
    0.75
     tricks
    0.75
     exceptionally
    0.75
    Activations Density 0.048%

    No Known Activations