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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. 8-RES-JB
    6. 9630
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    INDEX
    Explanations

    phrases or sentences indicating the presence of something within a particular entity

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "contain" and its variations

    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
    doms
    -0.88
     Sabha
    -0.82
    lag
    -0.66
    straight
    -0.66
     athlet
    -0.66
     Airways
    -0.62
    laus
    -0.62
    hon
    -0.60
    urai
    -0.60
    Sport
    -0.59
    POSITIVE LOGITS
    ãĤ£
    0.80
     enough
    0.78
     sufficient
    0.77
     spoilers
    0.77
    nces
    0.76
    ãĥĸ
    0.76
     lots
    0.74
     traces
    0.73
     provisions
    0.73
    ttes
    0.73
    Activations Density 0.052%

    No Known Activations