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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. 11-RES-JB
    11. 13332
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    Explanations

    text related to project management tasks

    oai_token-act-pair · gpt-3.5-turbo

    references to project management and coordination

    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
    nil
    -0.89
    Tip
    -0.79
    vantage
    -0.78
    hover
    -0.77
    lege
    -0.77
    SPONSORED
    -0.76
    tackle
    -0.75
    isson
    -0.75
    verb
    -0.72
    Joined
    -0.71
    POSITIVE LOGITS
     entirety
    1.27
     entire
    1.17
     remainder
    1.10
     requisite
    1.07
     groundwork
    1.07
     necessary
    1.04
     basics
    1.04
     paperwork
    0.98
    ses
    0.97
     particulars
    0.97
    Activations Density 0.352%

    No Known Activations