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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. 3-RES-JB
    11. 18319
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    Explanations

    phrases related to successfully carrying out actions despite challenges or resistance

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to escaping or evading responsibility

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Methods
    -0.63
    Interstitial
    -0.62
     ambush
    -0.62
    Austral
    -0.61
     Huang
    -0.60
     entirety
    -0.57
    Availability
    -0.56
     Booth
    -0.56
     Neurolog
    -0.55
    APD
    -0.55
    POSITIVE LOGITS
    retty
    0.79
    chy
    0.77
    started
    0.72
    ipolar
    0.71
     traction
    0.70
     foothold
    0.70
    quick
    0.66
    ãĤ¼
    0.65
    ocobo
    0.65
    ivalent
    0.65
    Activations Density 0.379%

    No Known Activations