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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. 2-RES-JB
    11. 23204
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    Explanations

    short phrases related to material and construction, particularly focusing on mortar and crumbling

    oai_token-act-pair · gpt-3.5-turbo

    terms related to construction materials and structural integrity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etic
    -0.81
    orth
    -0.79
    urious
    -0.77
    etics
    -0.76
    ORT
    -0.70
    sle
    -0.69
    basketball
    -0.69
    issues
    -0.69
    ORD
    -0.68
    isted
    -0.68
    POSITIVE LOGITS
     mortar
    1.14
    senal
    0.98
    ModLoader
    0.82
     mold
    0.75
     plaster
    0.73
     Walls
    0.71
     demolition
    0.70
     Mosque
    0.69
     fort
    0.68
     firing
    0.67
    Activations Density 0.016%

    No Known Activations