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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. 6-RES-JB
    6. 18066
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to cultural aspects and social issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tics
    -0.70
    cyclopedia
    -0.68
    Dialogue
    -0.68
     respectively
    -0.65
    course
    -0.64
    ".[
    -0.64
    Jews
    -0.63
    ensual
    -0.59
    iesel
    -0.58
     regiment
    -0.57
    POSITIVE LOGITS
    Enlarge
    0.73
    lihood
    0.63
    ibly
    0.59
    bestos
    0.58
    boa
    0.58
     Econom
    0.57
     HIP
    0.57
    borough
    0.55
     guiActiveUn
    0.54
     Outdoor
    0.53
    Activations Density 1.436%

    No Known Activations