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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. 10-RES-JB
    11. 23290
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    Explanations

    references to helicopters

    oai_token-act-pair · gpt-3.5-turbo

    mentions of helicopters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    esson
    -0.85
    heimer
    -0.78
    Ô
    -0.78
    女
    -0.77
    âĶģ
    -0.74
    omething
    -0.74
    endi
    -0.72
    ql
    -0.71
    otten
    -0.70
    ulkan
    -0.68
    POSITIVE LOGITS
     helicopter
    1.15
     helicopters
    1.07
     flown
    1.00
     squadron
    0.98
    opter
    0.98
     pilots
    0.95
     hovering
    0.93
     pilot
    0.92
     dispatched
    0.92
     rotor
    0.91
    Activations Density 0.047%

    No Known Activations