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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. 8-RES-JB
    11. 10612
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    Explanations

    words related to physical objects and actions like curbs, brakes, leverage, and harness

    oai_token-act-pair · gpt-3.5-turbo

    terms related to control or restraint

    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
    ovych
    -0.79
    uary
    -0.75
    estate
    -0.71
    ysc
    -0.71
    afort
    -0.71
    oho
    -0.70
    ynt
    -0.70
    guyen
    -0.70
    iquid
    -0.68
     Destination
    -0.68
    POSITIVE LOGITS
    bone
    0.81
    faced
    0.79
     rods
    0.78
     levers
    0.73
     sled
    0.71
     heels
    0.71
     DRAG
    0.69
     brakes
    0.69
     dragging
    0.68
    foot
    0.68
    Activations Density 0.099%

    No Known Activations