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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. 4-RES-JB
    11. 2089
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    Explanations

    phrases related to different entities or elements interacting with each other

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of interactions

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

    No Comments

    Negative Logits
    zn
    -0.90
    cott
    -0.86
    amina
    -0.79
    haps
    -0.77
    zik
    -0.76
    enic
    -0.74
    prus
    -0.72
    uster
    -0.70
    igs
    -0.70
    aft
    -0.70
    POSITIVE LOGITS
     interactions
    0.96
     interaction
    0.90
    uality
    0.76
    dayName
    0.74
     between
    0.73
    ually
    0.69
     Franç
    0.69
     Uriel
    0.67
     Ens
    0.67
    iquette
    0.66
    Activations Density 0.016%

    No Known Activations