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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

    technical terms related to networking equipment, specifically routers

    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
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    -0.80
     Petr
    -0.77
    endi
    -0.75
    ctuary
    -0.70
    BIP
    -0.69
    ittee
    -0.68
    otrop
    -0.68
    reenshot
    -0.68
    ock
    -0.68
    vest
    -0.67
    POSITIVE LOGITS
     router
    1.21
     routers
    1.14
     Router
    1.13
    oute
    1.11
     routing
    1.02
    senal
    0.92
     routed
    0.91
     transformer
    0.82
     connectivity
    0.82
    ahime
    0.80
    Activations Density 0.019%

    No Known Activations