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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. 7-RES-JB
    11. 4929
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    Explanations

    phrases related to keeping an eye on something or someone

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the act of monitoring or keeping track of something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    haps
    -0.67
    姫
    -0.65
    VIDIA
    -0.63
    interstitial
    -0.61
    ivari
    -0.61
     Gibbs
    -0.61
    codes
    -0.61
     gulf
    -0.58
     Alger
    -0.58
     Bundes
    -0.58
    POSITIVE LOGITS
    obl
    0.76
     ahead
    0.75
    eyes
    0.74
     nose
    0.72
    oin
    0.71
    eful
    0.71
    earance
    0.71
    cam
    0.69
     eye
    0.69
     Eye
    0.69
    Activations Density 0.031%

    No Known Activations