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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. 9-RES-JB
    11. 1395
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    Explanations

    words related to economic factors such as rising and falling prices

    oai_token-act-pair · gpt-3.5-turbo

    terms related to rising economic challenges and prices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vier
    -0.78
    iverpool
    -0.70
    feat
    -0.68
    inct
    -0.66
     facult
    -0.65
    formation
    -0.65
    DragonMagazine
    -0.65
    Sham
    -0.65
     survived
    -0.65
    lege
    -0.65
    POSITIVE LOGITS
     prices
    1.63
     incomes
    1.36
     rates
    1.36
     wages
    1.33
     temperatures
    1.31
     rents
    1.31
     unemployment
    1.29
     Prices
    1.28
     premiums
    1.22
     tariffs
    1.18
    Activations Density 0.235%

    No Known Activations