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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. 14277
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    Explanations

    comparative statements indicating a significant lag or difference in progress or achievement

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating being behind or off the mark in various contexts

    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
    cu
    -0.77
    é¾
    -0.75
     [&
    -0.71
    Uh
    -0.68
    ãĥ¼ãĥĨãĤ£
    -0.64
    gallery
    -0.64
    uh
    -0.62
    Ca
    -0.62
    du
    -0.62
    Gi
    -0.61
    POSITIVE LOGITS
    sighted
    1.11
     academ
    0.88
     saturation
    0.77
    athetic
    0.73
    atos
    0.73
     perfection
    0.69
     optimum
    0.67
     technologically
    0.67
    emort
    0.67
     average
    0.67
    Activations Density 0.118%

    No Known Activations