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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. 4-RES-JB
    11. 19440
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    Explanations

    keywords related to specific items or concepts within a broader context

    oai_token-act-pair · gpt-3.5-turbo

    specific nouns and concepts relating to tangible items, establishments, or roles in society

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

    No Comments

    Negative Logits
    ernels
    -0.62
    rencies
    -0.61
    assies
    -0.60
    urches
    -0.58
     Cups
    -0.57
    events
    -0.57
     establishments
    -0.57
    sites
    -0.56
    lees
    -0.55
    tics
    -0.55
    POSITIVE LOGITS
    license
    0.62
     standpoint
    0.59
    abyte
    0.59
    atical
    0.59
    ccording
    0.55
    alyst
    0.55
     apology
    0.55
    ogram
    0.55
    oser
    0.54
     spokesperson
    0.54
    Activations Density 1.191%

    No Known Activations