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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
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    Explanations

    chemical substances related to acidity

    oai_token-act-pair · gpt-3.5-turbo

    references to acidity and related chemical concepts

    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
    OPLE
    -0.82
    ALE
    -0.79
    EEK
    -0.79
    ILLE
    -0.77
    MQ
    -0.75
    ttes
    -0.75
    OF
    -0.74
    ynski
    -0.72
    OTA
    -0.72
    Aust
    -0.72
    POSITIVE LOGITS
     acid
    1.14
     Acid
    0.86
     baths
    0.80
    ity
    0.78
    ashtra
    0.78
     chemistry
    0.77
    inks
    0.77
     residue
    0.77
     bath
    0.75
    bath
    0.75
    Activations Density 0.009%

    No Known Activations