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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. 4945
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    Explanations

    words related to beds and bedding

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    references to beds and bedding-related items

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    arily
    -0.64
     Kafka
    -0.59
     Exhibit
    -0.55
     Ascend
    -0.55
     Achilles
    -0.55
     Nare
    -0.55
     Kers
    -0.54
     Hein
    -0.54
     attorney
    -0.53
     Galile
    -0.52
    POSITIVE LOGITS
    ding
    1.44
    ridden
    1.38
    sheets
    1.31
    sheet
    1.29
    spread
    1.28
    side
    1.19
    azz
    1.19
    lam
    1.16
    bugs
    1.09
    time
    1.09
    Activations Density 0.032%

    No Known Activations