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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. 7-RES-JB
    11. 11662
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to "trust" and associated entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ĺħ
    -0.72
    OPLE
    -0.71
    nesota
    -0.67
    GN
    -0.66
    pmwiki
    -0.66
    hyde
    -0.62
     Mek
    -0.61
    ãĥ©ãĥ³
    -0.60
     Gale
    -0.59
    uggest
    -0.59
    POSITIVE LOGITS
    ees
    1.57
    worthiness
    1.39
    ee
    1.24
    worthy
    1.10
    ieth
    0.95
     fund
    0.93
    ership
    0.92
    ulent
    0.89
    ament
    0.89
    ishes
    0.87
    Activations Density 0.019%

    No Known Activations