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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. 10-RES-JB
    11. 8310
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    Explanations

    food items or ingredients

    oai_token-act-pair · gpt-3.5-turbo

    various types of containers or items that are often associated with food and storage

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ocracy
    -0.69
     pathway
    -0.67
     experien
    -0.66
    ocratic
    -0.66
     disturbance
    -0.65
    ATH
    -0.65
    stream
    -0.65
     gulf
    -0.64
    scape
    -0.62
     realm
    -0.62
    POSITIVE LOGITS
    poons
    1.22
    pring
    1.05
    leeve
    1.02
     containing
    1.02
    mith
    1.02
    uits
    1.01
    creen
    0.99
     adorned
    0.97
     stuffed
    0.97
    avers
    0.94
    Activations Density 0.338%

    No Known Activations