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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. 3-RES-JB
    11. 16141
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    Explanations

    verbs related to revealing information or personal thoughts

    oai_token-act-pair · gpt-3.5-turbo

    words or phrases related to confession and identification of feelings or states

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    \/\/
    -0.63
     Editing
    -0.62
     Pog
    -0.62
     carts
    -0.62
     Pwr
    -0.61
    nor
    -0.60
    stage
    -0.59
     Cro
    -0.59
    Fram
    -0.59
     levers
    -0.58
    POSITIVE LOGITS
    antes
    0.85
    agram
    0.81
    anwhile
    0.81
    cius
    0.81
    ociate
    0.80
    ariat
    0.79
    ilial
    0.79
    essional
    0.78
    iliate
    0.76
    auga
    0.76
    Activations Density 0.034%

    No Known Activations