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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. 22169
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    Explanations

    mentions of various names, possibly related to a specific person or topic

    oai_token-act-pair · gpt-3.5-turbo

    references to chili and related names or terms

    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
    inals
    -1.01
    WARD
    -0.84
    inal
    -0.74
    ëĭ
    -0.72
    rations
    -0.72
    ences
    -0.71
    ration
    -0.71
    llers
    -0.71
    ynt
    -0.71
    itives
    -0.70
    POSITIVE LOGITS
     Chak
    0.94
    akra
    0.88
    icago
    0.83
    anooga
    0.82
    bara
    0.75
     Divinity
    0.71
     peppers
    0.70
     disgrace
    0.70
    osen
    0.68
     chants
    0.66
    Activations Density 0.023%

    No Known Activations