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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. 8-RES-JB
    11. 17149
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    Explanations

    the word "s" within questions asking "What's..." where something is mentioned

    oai_token-act-pair · gpt-3.5-turbo

    the word "what" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     resorts
    -0.64
    sie
    -0.63
     smear
    -0.60
    onym
    -0.58
     Zheng
    -0.55
     shifts
    -0.54
     lash
    -0.54
     Checks
    -0.54
     trusts
    -0.52
     settlements
    -0.52
    POSITIVE LOGITS
     happening
    0.99
     transpired
    0.91
    omething
    0.89
     gonna
    0.89
     happened
    0.88
     happ
    0.81
    wered
    0.80
    soDeliveryDate
    0.76
    leep
    0.75
    actly
    0.74
    Activations Density 0.032%

    No Known Activations