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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. 1-RES-JB
    11. 5230
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    Explanations

    keywords related to different sizes and shapes

    oai_token-act-pair · gpt-3.5-turbo

    references to various sizes and shapes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bal
    -0.74
     Providence
    -0.72
    Guard
    -0.68
    FN
    -0.66
     Zion
    -0.66
    Mor
    -0.65
    balance
    -0.64
    ISSION
    -0.63
    Security
    -0.63
     Lyme
    -0.63
    POSITIVE LOGITS
    hops
    1.42
    paces
    1.32
    poons
    1.17
    mith
    1.13
    ettings
    1.06
    uggest
    1.05
    omething
    1.04
    etting
    1.02
    hips
    1.01
    ensical
    1.00
    Activations Density 0.026%

    No Known Activations