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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. 15558
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    Explanations

    expressions related to physical positions and activities, such as kneeling, crouching, sitting, standing, and lying down

    oai_token-act-pair · gpt-3.5-turbo

    actions and states related to sitting or positioning

    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
    actionDate
    -0.75
    vernment
    -0.75
    ãĥ©ãĥ³
    -0.73
    uria
    -0.73
    allo
    -0.72
    ormons
    -0.69
    ãĥĪ
    -0.68
     Flavoring
    -0.68
    £ı
    -0.65
    д
    -0.65
    POSITIVE LOGITS
     seiz
    1.11
     kneeling
    1.03
     beside
    0.98
     crou
    0.93
     recl
    0.90
     comfortably
    0.87
     upright
    0.86
     weeping
    0.86
     sob
    0.85
    stairs
    0.85
    Activations Density 0.120%

    No Known Activations