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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. 5376
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    Explanations

    mentions of the word "port"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of ports

    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
    pta
    -0.75
    ocene
    -0.66
    ãĥ©ãĥ³
    -0.66
    ById
    -0.66
    IGH
    -0.65
    ãĤŃ
    -0.64
    IGHTS
    -0.64
    ylan
    -0.64
    DonaldTrump
    -0.64
    IAS
    -0.63
    POSITIVE LOGITS
    ugal
    1.27
    folios
    1.13
    folio
    1.12
    rait
    0.95
    eur
    0.89
    raits
    0.82
    ilage
    0.80
     forwarding
    0.80
    lash
    0.76
     Townsend
    0.74
    Activations Density 0.011%

    No Known Activations