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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. 5330
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    Explanations

    phrases related to actions or events, specifically highlighting contrasting aspects

    oai_token-act-pair · gpt-3.5-turbo

    references to general concepts or phrases that express significant ideas or actions

    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
    cation
    -0.79
    soType
    -0.78
    cair
    -0.77
    çīĪ
    -0.72
    Sport
    -0.71
    ¯¯¯¯
    -0.70
    neath
    -0.70
    iat
    -0.70
    hill
    -0.69
    iu
    -0.68
    POSITIVE LOGITS
     billions
    0.84
     Dozens
    0.80
     millions
    0.78
     dozens
    0.78
     arresting
    0.77
     supplying
    0.77
     hundreds
    0.76
     restoring
    0.76
     produce
    0.75
     trillions
    0.74
    Activations Density 1.048%

    No Known Activations