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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. 6-RES-JB
    11. 367
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    Explanations

    actions related to capturing, transmitting, treating, and managing data or information

    oai_token-act-pair · gpt-3.5-turbo

    actions related to legal and medical procedures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    erning
    -0.78
    icipated
    -0.77
    enos
    -0.65
    liction
    -0.64
    osuke
    -0.64
    adelphia
    -0.63
    nia
    -0.63
    ajo
    -0.62
    atus
    -0.62
    axis
    -0.62
    POSITIVE LOGITS
     alike
    1.05
     accordingly
    1.03
     anew
    0.83
     thereafter
    0.80
     by
    0.79
     Parenthood
    0.77
     BY
    0.74
     individually
    0.72
     respectively
    0.71
     therein
    0.70
    Activations Density 0.201%

    No Known Activations