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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. 3-RES-JB
    11. 5074
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    Explanations

    phrases related to transportation and medical equipment

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with physical structures and conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    KC
    -0.64
    Planet
    -0.63
    Las
    -0.62
    Haw
    -0.61
    BI
    -0.58
    Phys
    -0.58
    BIT
    -0.57
    Labor
    -0.57
     Moj
    -0.57
     Veh
    -0.57
    POSITIVE LOGITS
    poons
    1.32
    mith
    1.30
    chool
    1.22
    hips
    1.22
    ervatives
    1.20
    aurus
    1.17
    hops
    1.10
    pring
    1.09
    ilver
    1.08
    paces
    1.05
    Activations Density 0.226%

    No Known Activations