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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. 7-RES-JB
    6. 7163
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    Explanations

    references to awards or achievements

    oai_token-act-pair · gpt-3.5-turbo

    references to awards and achievements, particularly in the context of individuals or organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Dialogue
    -0.70
    ologically
    -0.67
     Kag
    -0.58
     UID
    -0.58
    xual
    -0.58
     tolerate
    -0.56
    Ku
    -0.56
    osexual
    -0.56
    JB
    -0.55
     benign
    -0.55
    POSITIVE LOGITS
    ioxide
    1.07
     Sachs
    0.99
    tein
    0.88
    ppe
    0.75
    agos
    0.74
    midt
    0.73
    haps
    0.73
    xia
    0.71
    tes
    0.70
    antha
    0.68
    Activations Density 0.217%

    No Known Activations