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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. 18150
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    INDEX
    Explanations

    words related to activities, such as "session"

    oai_token-act-pair · gpt-3.5-turbo

    the term "session" in various contexts

    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
    actor
    -0.76
    kowski
    -0.64
    tymology
    -0.64
     sentimental
    -0.61
    umbai
    -0.61
     underdog
    -0.60
     traff
    -0.59
    faced
    -0.59
     unborn
    -0.59
     soluble
    -0.59
    POSITIVE LOGITS
    UAL
    0.92
     session
    0.91
    ional
    0.90
    ually
    0.90
    uality
    0.86
    ansion
    0.85
     sessions
    0.83
    ickr
    0.82
    nikov
    0.80
     Session
    0.75
    Activations Density 0.013%

    No Known Activations