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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. 11-RES-JB
    11. 2337
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    Explanations

    words related to tall structures or skyscrapers

    oai_token-act-pair · gpt-3.5-turbo

    references to skyscrapers and nanotechnology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
    DEN
    -0.71
    ãĤ®
    -0.68
    ged
    -0.65
    REDACTED
    -0.64
    ++++++++++++++++
    -0.64
     Advent
    -0.63
     variation
    -0.63
     colonial
    -0.62
    ãĥį
    -0.62
    ãģ®éŃĶ
    -0.62
    POSITIVE LOGITS
    ract
    1.31
    raft
    1.28
    ension
    1.26
    orns
    1.26
    olls
    1.20
    raction
    1.20
    onduct
    1.19
    opes
    1.19
    olitics
    1.18
    rop
    1.18
    Activations Density 0.100%

    No Known Activations