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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. 12-RES-JB
    11. 2935
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    Explanations

    descriptions of construction processes involving the manipulation of materials

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    instructions and descriptions related to DIY or home improvement projects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ablishment
    -0.84
    vous
    -0.80
    agy
    -0.79
    borgh
    -0.77
    ieri
    -0.76
    imilation
    -0.73
    ropolis
    -0.71
    bach
    -0.69
    hra
    -0.69
    Ü
    -0.68
    POSITIVE LOGITS
     scissors
    1.36
     ruler
    1.09
     silicone
    1.08
     adhesive
    1.06
     glue
    1.05
     screws
    1.02
     PVC
    0.99
     parchment
    0.99
     tape
    0.98
     elastic
    0.98
    Activations Density 0.236%

    No Known Activations