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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. 12522
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    Explanations

    phrases related to ease of use and simplicity

    oai_token-act-pair · gpt-3.5-turbo

    phrases and terms indicating simplicity and ease of use

    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
    eters
    -0.75
    hips
    -0.71
    orf
    -0.70
    grave
    -0.69
    reon
    -0.69
    arians
    -0.68
    orp
    -0.67
     Zurich
    -0.65
    akin
    -0.64
     Saud
    -0.62
    POSITIVE LOGITS
    going
    0.90
    Jet
    0.88
    accessible
    0.82
    wallet
    0.80
     accessible
    0.75
    ily
    0.74
     easy
    0.73
     accessibility
    0.72
     forgiving
    0.71
    step
    0.70
    Activations Density 0.065%

    No Known Activations