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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. 14060
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    Explanations

    verbs related to the process of planning, development, or analysis

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to actions and events that have occurred

    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
    idate
    -0.73
    aspers
    -0.67
     Lauder
    -0.61
     Mits
    -0.61
    gart
    -0.60
    heid
    -0.59
     continuation
    -0.59
    idated
    -0.58
    iasis
    -0.58
     Fathers
    -0.58
    POSITIVE LOGITS
     wrong
    0.92
     unnoticed
    0.87
     aw
    0.81
     Wrong
    0.79
    lems
    0.78
    wrong
    0.78
     overlooked
    0.76
     overboard
    0.75
    missing
    0.74
     missing
    0.70
    Activations Density 0.039%

    No Known Activations