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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. 8-RES-JB
    11. 14425
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    Explanations

    phrases related to decision-making and actions

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to evaluation or analysis

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ABE
    -0.81
    urous
    -0.81
    ãĥĥãĥĪ
    -0.79
    CCC
    -0.78
     Ascension
    -0.74
     Valkyrie
    -0.74
    Dispatch
    -0.73
    ĵ
    -0.73
     Postal
    -0.72
    ļéĨĴ
    -0.72
    POSITIVE LOGITS
    fx
    0.77
     fo
    0.75
    okemon
    0.73
     booze
    0.73
    fat
    0.73
     huh
    0.72
     pokemon
    0.71
    butt
    0.70
    so
    0.70
     shin
    0.70
    Activations Density 0.237%

    No Known Activations