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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 22305
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    Explanations

    phrases related to education policy and legislation

    oai_token-act-pair · gpt-3.5-turbo

    topics related to education, public policy, and social issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    urat
    -0.71
    çͰ
    -0.65
    emonium
    -0.63
    ,,,,
    -0.62
    xual
    -0.62
    erker
    -0.56
    assis
    -0.56
    ilipp
    -0.55
    canon
    -0.55
    selage
    -0.54
    POSITIVE LOGITS
     harms
    0.73
     populations
    0.69
     protections
    0.68
     havens
    0.68
     contracting
    0.67
     hazards
    0.66
     impacts
    0.65
     services
    0.64
     centers
    0.63
     offenders
    0.63
    Activations Density 0.775%

    No Known Activations