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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. 5647
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    Explanations

    words related to various forms of energy and materials

    oai_token-act-pair · gpt-3.5-turbo

    terms related to materials, resources, and physical substances

    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
    YN
    -0.67
     Schmidt
    -0.60
    htaking
    -0.60
    uthor
    -0.60
    £ı
    -0.59
    arak
    -0.58
     Brach
    -0.58
     Athe
    -0.55
    ONSORED
    -0.55
    pher
    -0.54
    POSITIVE LOGITS
     cartridges
    0.82
    bytes
    0.81
     residue
    0.78
     flakes
    0.77
     cylinders
    0.77
    cells
    0.76
     molecules
    0.76
     contaminants
    0.74
    flow
    0.74
     particles
    0.73
    Activations Density 0.410%

    No Known Activations