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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. 11-RES-JB
    6. 7446
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    Explanations

    phrases related to reasons or justifications

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals and their actions or situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ----------------------------------------------------------------
    -0.70
    ortun
    -0.66
     nutshell
    -0.66
    GGGGGGGG
    -0.65
    UGE
    -0.64
    venge
    -0.64
     renaissance
    -0.63
     unveiling
    -0.63
    --------------------------------
    -0.62
     toget
    -0.62
    POSITIVE LOGITS
     lacked
    1.58
     hadn
    1.55
     disagreed
    1.32
     objected
    1.26
     refused
    1.25
     wasn
    1.23
     lacks
    1.23
     feared
    1.19
     doubted
    1.17
     didn
    1.16
    Activations Density 0.370%

    No Known Activations