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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. 5-RES-JB
    6. 16353
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    Explanations

    assertions of truth, often followed by additional context or information

    oai_token-act-pair · gpt-3.5-turbo

    statements asserting truths or facts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ebus
    -0.82
    onding
    -0.67
     arms
    -0.67
    reciation
    -0.64
    ido
    -0.64
     erection
    -0.63
     Quit
    -0.62
    robe
    -0.61
    pload
    -0.60
     Maintenance
    -0.59
    POSITIVE LOGITS
    etheless
    0.80
    ©¶æ
    0.68
     Roe
    0.66
     fiction
    0.64
    anuts
    0.61
    plain
    0.61
     Fargo
    0.60
    cerning
    0.59
    matter
    0.59
    Bloom
    0.59
    Activations Density 0.170%

    No Known Activations