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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. 9109
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    Explanations

    expressions of surprise or strong emotions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of surprise or disbelief

    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
    icipated
    -0.65
     PID
    -0.63
     helicop
    -0.60
    udi
    -0.60
    conservancy
    -0.60
     Siber
    -0.59
     Skydragon
    -0.58
    devices
    -0.56
     flood
    -0.55
     embroiled
    -0.55
    POSITIVE LOGITS
    Correct
    1.04
     sir
    1.04
    Yeah
    1.02
     alright
    0.98
    ye
    0.98
     yeah
    0.97
    yeah
    0.95
    stood
    0.92
    Exactly
    0.90
    Alright
    0.89
    Activations Density 0.203%

    No Known Activations