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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. 3-RES-JB
    11. 4481
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    Explanations

    phrases related to political discussions, such as mentions of council members or legislation

    oai_token-act-pair · gpt-3.5-turbo

    references to council members in a legislative or administrative context

    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
    obar
    -0.65
    gradation
    -0.65
     detox
    -0.64
    uras
    -0.64
    condition
    -0.62
     conquest
    -0.62
     cruise
    -0.61
    Guard
    -0.61
     Predator
    -0.61
     forc
    -0.60
    POSITIVE LOGITS
    hips
    1.32
    ertodd
    0.96
     Cosponsors
    0.95
    hip
    0.90
    doms
    0.82
    IAL
    0.80
    ials
    0.79
    rored
    0.73
    cius
    0.73
    ropolitan
    0.73
    Activations Density 0.050%

    No Known Activations