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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. 6-RES-JB
    6. 24108
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    Explanations

    phrases related to manufacturing processes or specialized technical terms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a specific set of entities or items identified by the term "elt."

    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
     Occupations
    -0.76
    spective
    -0.75
    CVE
    -0.73
    sets
    -0.71
    perty
    -0.69
    credit
    -0.68
    nect
    -0.64
     reconc
    -0.64
     Bakr
    -0.64
    direction
    -0.64
    POSITIVE LOGITS
    down
    0.94
    imes
    0.92
    mann
    0.87
    orf
    0.85
    acht
    0.81
    downs
    0.80
    itudinal
    0.80
    robe
    0.78
    itudes
    0.76
    kamp
    0.75
    Activations Density 0.018%

    No Known Activations