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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. 18605
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    Explanations

    mentions of scams

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "scam" and its variations

    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
    hani
    -0.70
    IFE
    -0.69
    FK
    -0.69
    itarian
    -0.64
     contiguous
    -0.60
     uninterrupted
    -0.59
    determination
    -0.59
     Atom
    -0.58
    LEASE
    -0.58
     Olive
    -0.57
    POSITIVE LOGITS
    ulent
    1.22
    ulence
    1.10
    pering
    1.07
    crow
    0.99
    ming
    0.99
     scam
    0.94
    sters
    0.92
    mer
    0.88
     scams
    0.88
    peria
    0.87
    Activations Density 0.009%

    No Known Activations