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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. 11-RES-JB
    11. 3547
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    Explanations

    sequences that involve hyphens possibly used to emphasize or categorize information

    oai_token-act-pair · gpt-3.5-turbo

    negations or negative concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦
    -0.75
    ously
    -0.75
    .):
    -0.71
    HL
    -0.67
    :[
    -0.65
    âĢ¦âĢ¦
    -0.65
    âĢ¦)
    -0.65
    /(
    -0.65
    entials
    -0.62
    edo
    -0.62
    POSITIVE LOGITS
    _-
    1.80
    webkit
    0.82
    agine
    0.81
    =-=-=-=-=-=-=-=-
    0.80
     ie
    0.79
     [|
    0.74
    /-
    0.73
    named
    0.70
    especially
    0.70
    enough
    0.69
    Activations Density 0.067%

    No Known Activations