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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. 3519
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    Explanations

    words related to sticky objects or situations

    oai_token-act-pair · gpt-3.5-turbo

    words related to various types of "sticks."

    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
    UTH
    -0.86
    OTO
    -0.80
     unfocusedRange
    -0.75
    AMES
    -0.73
    APH
    -0.72
     Kirin
    -0.69
    EMBER
    -0.69
    HCR
    -0.69
     Rated
    -0.66
    oros
    -0.65
    POSITIVE LOGITS
    stick
    1.03
    erness
    0.98
     slic
    0.88
    sticks
    0.88
    wheel
    0.88
    lihood
    0.88
    pit
    0.87
    holders
    0.86
    pipe
    0.83
    pole
    0.83
    Activations Density 0.007%

    No Known Activations