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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. 23457
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    Explanations

    target words or phrases related to resources, capabilities, or ability, often indicating possession or lack of a specific resource

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a capacity or ability to take action

    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
    mails
    -0.81
    Ĭ±
    -0.80
    *)
    -0.69
    pointers
    -0.67
    Tip
    -0.67
     glances
    -0.66
    ception
    -0.66
    antz
    -0.65
    ENTION
    -0.63
    union
    -0.62
    POSITIVE LOGITS
     sustain
    1.12
     survive
    1.09
     undertake
    1.08
     withstand
    1.06
     overcome
    1.05
     pursue
    1.04
     make
    1.04
     fulfill
    1.03
     justify
    1.02
     satisfy
    1.02
    Activations Density 0.173%

    No Known Activations