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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. 4-RES-JB
    11. 13105
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    Explanations

    involvement and reception of healthcare-related actions such as receiving treatments or benefits

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "receive" and its variations

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

    No Comments

    Negative Logits
    fall
    -0.68
    Ed
    -0.57
    scape
    -0.56
    Walker
    -0.56
    assin
    -0.56
    izza
    -0.55
     obsc
    -0.54
    spir
    -0.54
    sect
    -0.54
     Destroyer
    -0.54
    POSITIVE LOGITS
    imental
    0.87
    terson
    0.81
    soever
    0.79
    prises
    0.77
    ASED
    0.74
    DAQ
    0.72
    rics
    0.72
    ILY
    0.72
    dinand
    0.72
     Lauder
    0.71
    Activations Density 0.034%

    No Known Activations