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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. 154
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    Explanations

    the word "scam"

    oai_token-act-pair · gpt-4-turbo

    references to various types of scams

    oai_token-act-pair · gpt-3.5-turbo

    references to scams

    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
    IFE
    -0.68
    itarian
    -0.65
    FK
    -0.62
    etheless
    -0.61
    LEASE
    -0.60
    arching
    -0.60
     Views
    -0.60
    xc
    -0.59
    IGHTS
    -0.59
     uninterrupted
    -0.59
    POSITIVE LOGITS
     scam
    1.14
    pering
    1.03
    ulent
    1.03
    ulence
    1.02
    crow
    1.00
     scams
    0.99
    ming
    0.92
    sters
    0.84
    istry
    0.84
    roo
    0.84
    Activations Density 0.011%

    No Known Activations