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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. 9331
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    Explanations

    verbs related to completing tasks or actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to completion of tasks or processes

    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
    soType
    -0.70
    spr
    -0.69
    olson
    -0.67
    people
    -0.64
     vulner
    -0.63
    dro
    -0.63
    worn
    -0.63
    pter
    -0.62
    otta
    -0.59
    inn
    -0.59
    POSITIVE LOGITS
     tasks
    1.13
     renovations
    1.00
     preparations
    0.94
     paperwork
    0.94
     chores
    0.93
     sentences
    0.92
     assignments
    0.90
     homework
    0.89
     quests
    0.88
     objectives
    0.87
    Activations Density 0.095%

    No Known Activations