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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. 20727
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    Explanations

    words related to airline abbreviations and specific names

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "TW" as well as specific entities and terms associated with the context of the document

    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
    netflix
    -0.93
    tenance
    -0.79
    Downloadha
    -0.74
    ãĤ¹ãĥĪ
    -0.71
    hammad
    -0.71
     Expression
    -0.69
    agate
    -0.68
    eer
    -0.68
    handle
    -0.68
    iasis
    -0.68
    POSITIVE LOGITS
    TW
    1.07
    BUR
    0.99
    IRE
    0.92
    ICE
    0.90
    OY
    0.89
    KY
    0.87
     TW
    0.85
     GOODMAN
    0.85
    LLOW
    0.85
    ELF
    0.84
    Activations Density 0.011%

    No Known Activations