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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. 6-RES-JB
    11. 10912
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    Explanations

    words related to continuous or never-ending actions or states

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "stop" and related concepts indicating a lack of conclusion or continuation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    emi
    -0.82
    IDER
    -0.78
    imar
    -0.76
    axter
    -0.76
    uden
    -0.75
    ocene
    -0.74
    udeb
    -0.74
    ovember
    -0.74
    pta
    -0.71
    ARY
    -0.68
    POSITIVE LOGITS
     stream
    0.81
     churn
    0.79
    motion
    0.78
     barrage
    0.77
     throughout
    0.76
     circling
    0.72
    ciating
    0.70
     harass
    0.70
     repetition
    0.70
     stalk
    0.69
    Activations Density 0.044%

    No Known Activations