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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. 13916
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    Explanations

    phrases related to economic inequality and social welfare

    oai_token-act-pair · gpt-3.5-turbo

    references to socioeconomic disparities and the plight of the poor

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.82
    ciating
    -0.79
    isSpecialOrderable
    -0.75
    £ı
    -0.73
    çīĪ
    -0.72
    UA
    -0.70
     Protocol
    -0.70
    rontal
    -0.68
     confir
    -0.67
     lightsaber
    -0.67
    POSITIVE LOGITS
     starving
    0.82
     impover
    0.77
     starved
    0.76
     impoverished
    0.74
     marginal
    0.74
     welf
    0.72
     peasants
    0.71
     poorest
    0.70
     needy
    0.70
     earners
    0.70
    Activations Density 0.403%

    No Known Activations