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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. 2-RES-JB
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    Explanations

    mentions of museums

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    LAN
    -0.73
     Wast
    -0.70
    nir
    -0.67
    OTH
    -0.67
    ornia
    -0.66
    Leary
    -0.66
    comes
    -0.64
    shaw
    -0.64
    avez
    -0.63
    DH
    -0.62
    POSITIVE LOGITS
    ĸļ
    1.08
     curator
    1.05
     museum
    1.01
    useum
    1.00
    arium
    0.94
     museums
    0.93
    artifacts
    0.87
    urally
    0.84
     exhibits
    0.82
     Museum
    0.81
    Activations Density 0.018%

    No Known Activations