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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. 12-RES-JB
    11. 2385
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    INDEX
    Explanations

    socioeconomic and demographic terms related to aging and workforce

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    terms related to socio-economic challenges and environmental conditions

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    unci
    -0.63
    zin
    -0.62
     ATT
    -0.61
    ione
    -0.61
    agog
    -0.60
    ¯¯¯¯¯¯¯¯
    -0.60
    pheus
    -0.59
    ULTS
    -0.59
    ertodd
    -0.58
    Lear
    -0.57
    POSITIVE LOGITS
     mean
    1.24
     means
    1.21
     meant
    1.14
     preclude
    1.12
     makes
    1.10
     complicate
    1.08
     hampered
    1.05
     coupled
    1.04
     prevents
    1.01
     hinder
    1.00
    Activations Density 0.589%

    No Known Activations