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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. 1370
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    Explanations

    words related to employment status and healthcare coverage

    oai_token-act-pair · gpt-3.5-turbo

    terms related to employment and insurance status

    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
    soDeliveryDate
    -0.88
    ãĥ¼ãĥ³
    -0.81
    ç«
    -0.81
    ãĥķãĤ©
    -0.72
    arium
    -0.72
    WAYS
    -0.70
    agnetic
    -0.69
     Flavoring
    -0.69
    BIT
    -0.68
    Downloadha
    -0.68
    POSITIVE LOGITS
     Persons
    0.92
     persons
    0.89
    ness
    0.89
     citiz
    0.85
     individuals
    0.84
     Individuals
    0.83
     youths
    0.82
     adults
    0.80
    NESS
    0.76
     idiots
    0.74
    Activations Density 0.088%

    No Known Activations