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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. 0-RES-JB
    11. 19335
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    Explanations

    mentions of materials or components

    oai_token-act-pair · gpt-3.5-turbo

    references to materials used in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    prise
    -0.76
    gie
    -0.67
    peror
    -0.66
    oin
    -0.65
    onda
    -0.65
    Ctrl
    -0.65
    ctrl
    -0.63
    dash
    -0.61
    aye
    -0.61
     Papa
    -0.60
    POSITIVE LOGITS
     materials
    3.70
     Materials
    2.68
     material
    2.44
    material
    2.34
    Materials
    2.05
     Material
    1.87
    Material
    1.70
     fabrics
    1.52
     metals
    1.44
     ingredients
    1.39
    Activations Density 0.008%

    No Known Activations