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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. 2-RES-JB
    6. 13299
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to quantities and scientific concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Solitaire
    -0.79
    draw
    -0.75
     Kindle
    -0.68
     Kashmir
    -0.67
    Contact
    -0.66
    âĶĢâĶĢ
    -0.65
    Thumbnail
    -0.64
    âĶĢâĶĢâĶĢâĶĢ
    -0.63
    0000000
    -0.62
     Cortana
    -0.62
    POSITIVE LOGITS
    otor
    1.21
    essage
    1.18
    puter
    1.15
    ittee
    1.14
    mercial
    1.13
    orph
    1.08
    ilitary
    1.06
    igrants
    1.04
    achine
    1.03
    ortal
    1.02
    Activations Density 0.027%

    No Known Activations