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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. 12440
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    Explanations

    Mentions of items used in cooking or baking recipes

    oai_token-act-pair · gpt-3.5-turbo

    first-person references in a narrative context

    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
     denouncing
    -0.66
     Amid
    -0.65
     Georgian
    -0.64
     Humanity
    -0.63
     srfAttach
    -0.63
     Plaint
    -0.62
     Consortium
    -0.61
     condemnation
    -0.60
     Rodham
    -0.60
     invasion
    -0.59
    POSITIVE LOGITS
     prefer
    1.23
    'm
    1.20
     recommend
    1.20
     opted
    1.15
    've
    1.14
     experimented
    1.06
     suppose
    1.04
     guess
    1.04
     chose
    1.02
     noticed
    1.02
    Activations Density 0.181%

    No Known Activations