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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. 6-RES-JB
    11. 15388
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    Explanations

    phrases related to people lining up or being in a line

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to people or objects being arranged in a line

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    natureconservancy
    -0.77
    reck
    -0.72
    cffffcc
    -0.71
    ILY
    -0.70
    CVE
    -0.69
    ibles
    -0.68
     guiIcon
    -0.68
    orean
    -0.68
    è¦ļéĨĴ
    -0.66
    illac
    -0.65
    POSITIVE LOGITS
    arity
    0.88
    ups
    0.86
    backer
    0.80
    up
    0.75
     up
    0.75
    boxes
    0.74
     Gau
    0.71
    cro
    0.70
    lines
    0.70
    ocaly
    0.70
    Activations Density 0.026%

    No Known Activations