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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    references to poverty

    oai_token-act-pair · gpt-3.5-turbo

    references to poverty and its impact on society

    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
    */(
    -0.94
    wcsstore
    -0.81
    ergy
    -0.72
    soDeliveryDate
    -0.71
    ERC
    -0.70
    natureconservancy
    -0.70
    ðĿ
    -0.69
    ITNESS
    -0.69
    RW
    -0.68
    ocard
    -0.66
    POSITIVE LOGITS
     poverty
    1.01
     allev
    1.00
     stricken
    0.97
     Poverty
    0.93
    overty
    0.90
     wages
    0.73
     wage
    0.72
     cooker
    0.72
     Wage
    0.71
     illiter
    0.71
    Activations Density 0.015%

    No Known Activations