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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 10434
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    Explanations

    phrases related to criminal investigations

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating demands or calls for action regarding social or political issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Tsukuyomi
    -0.80
     entr
    -0.75
     Oo
    -0.75
     beh
    -0.72
     knowing
    -0.72
     ourselves
    -0.70
     screws
    -0.70
     course
    -0.70
     escal
    -0.69
     keywords
    -0.68
    POSITIVE LOGITS
    Updated
    1.80
    Published
    1.71
    Posted
    1.55
    hello
    1.36
    Britain
    1.28
    Recent
    1.28
    TOR
    1.27
    PORT
    1.26
    Australian
    1.24
    Ireland
    1.23
    Activations Density 0.158%

    No Known Activations