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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. 17254
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    Explanations

    terms related to fundraising and campaign activities

    oai_token-act-pair · gpt-3.5-turbo

    references to fundraising activities

    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
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    No Comments

    Negative Logits
    ĪĴ
    -0.72
    ĨĴ
    -0.71
    Sensor
    -0.67
    sted
    -0.66
    Doctor
    -0.65
    erity
    -0.65
    uran
    -0.65
    ña
    -0.65
    chant
    -0.64
    phal
    -0.63
    POSITIVE LOGITS
     fundra
    1.18
     fundraising
    1.07
     fundraiser
    0.95
    isers
    0.87
     efforts
    0.83
    raising
    0.83
     dinners
    0.83
     solicitation
    0.83
    halla
    0.82
     donations
    0.78
    Activations Density 0.065%

    No Known Activations