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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 16158
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    Explanations

    phrases related to emptiness or lack of content

    oai_token-act-pair · gpt-3.5-turbo

    references to "blank" or empty concepts

    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
    IVERS
    -0.83
    byn
    -0.81
    HI
    -0.75
    tis
    -0.74
     sidx
    -0.74
    IVER
    -0.73
    agara
    -0.72
    annis
    -0.72
    Sham
    -0.68
    gram
    -0.66
    POSITIVE LOGITS
    eting
    1.30
     slate
    1.26
     stares
    1.06
     canvas
    0.99
    ety
    0.98
    etry
    0.95
    ness
    0.92
     stare
    0.87
     blank
    0.83
    ed
    0.80
    Activations Density 0.035%

    No Known Activations