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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. 24258
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    Explanations

    words related to expectation or prediction

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express expectations or predictions

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     Lies
    -0.71
     humility
    -0.66
    grounds
    -0.65
    forms
    -0.64
    ¯
    -0.64
    fun
    -0.63
     sincerity
    -0.62
     motivating
    -0.62
     motivation
    -0.60
    farious
    -0.59
    POSITIVE LOGITS
     hear
    1.47
     see
    1.34
     find
    1.12
     encounter
    1.12
     seeing
    1.08
     saw
    1.04
     heard
    1.04
     notice
    1.02
     witnessing
    1.02
     receive
    1.00
    Activations Density 0.492%

    No Known Activations