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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. 3-RES-JB
    11. 17785
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    INDEX
    Explanations

    references to fraudulent schemes or cons

    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 @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hani
    -0.70
    IFE
    -0.69
    LEASE
    -0.63
    FK
    -0.62
    itarian
    -0.60
     intimate
    -0.59
     temperatures
    -0.59
     Views
    -0.59
     bouts
    -0.59
     uninterrupted
    -0.59
    POSITIVE LOGITS
    pering
    1.06
     scam
    1.06
    ulent
    1.06
    crow
    1.01
    ulence
    0.95
    ming
    0.94
     scams
    0.91
    mer
    0.88
    istry
    0.86
    roo
    0.84
    Activations Density 0.007%

    No Known Activations