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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 14856
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    Explanations

    words related to essential or critical aspects

    oai_token-act-pair · gpt-3.5-turbo

    references to significant concepts, issues, or questions

    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
    ateur
    -0.73
    igham
    -0.71
     Carbuncle
    -0.70
    ateurs
    -0.70
    flat
    -0.70
     mild
    -0.67
    天
    -0.66
    Legend
    -0.66
    osa
    -0.65
     vomiting
    -0.65
    POSITIVE LOGITS
     viz
    0.84
    important
    0.81
    stone
    0.75
     affecting
    0.75
    chain
    0.74
     underpin
    0.74
     impacting
    0.73
     determining
    0.71
     distinguishing
    0.71
     crucial
    0.71
    Activations Density 0.303%

    No Known Activations