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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. 355
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    Explanations

    terms related to physical activity or movement on a treadmill

    oai_token-act-pair · gpt-3.5-turbo

    activities or actions associated with movement or navigation

    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
    ulton
    -0.76
    ITIES
    -0.67
     Scotia
    -0.66
    HCR
    -0.66
    ihil
    -0.60
    oult
    -0.60
    ARP
    -0.60
     Glasgow
    -0.59
     Pav
    -0.59
    ilar
    -0.59
    POSITIVE LOGITS
     tread
    1.39
    alis
    0.87
    cliffe
    0.86
    wear
    0.85
    neck
    0.82
    bone
    0.78
    gate
    0.77
    walker
    0.76
    bats
    0.76
    pants
    0.76
    Activations Density 0.007%

    No Known Activations