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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. 24213
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    Explanations

    detailed historical events or claims containing specific factual information

    oai_token-act-pair · gpt-3.5-turbo

    claims or assertions that involve controversy or misinformation

    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
    ktop
    -0.85
     mobility
    -0.79
     actionGroup
    -0.76
    idth
    -0.76
    heastern
    -0.75
    sembly
    -0.73
    conservancy
    -0.72
     Mobility
    -0.70
    ILE
    -0.70
    ettings
    -0.70
    POSITIVE LOGITS
     untrue
    1.85
     unfounded
    1.61
     false
    1.57
     baseless
    1.51
     inaccurate
    1.48
     FALSE
    1.44
     falsehood
    1.43
     incorrect
    1.40
     debunked
    1.37
    False
    1.37
    Activations Density 1.191%

    No Known Activations