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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. 0-RES-JB
    6. 3498
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    Explanations

    terms related to being user-friendly or suitable for a specific audience

    oai_token-act-pair · gpt-3.5-turbo

    terms related to friendliness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     outl
    -0.66
     IV
    -0.64
     ax
    -0.63
     principal
    -0.63
     subdiv
    -0.63
     âĢ
    -0.63
     [...]
    -0.62
     marrow
    -0.62
     ded
    -0.61
     transc
    -0.61
    POSITIVE LOGITS
    friendly
    3.86
     Friendly
    2.18
     friendly
    2.10
    Friend
    1.99
    friend
    1.59
    safe
    1.39
    riend
    1.27
    loving
    1.27
    oriented
    1.25
    happy
    1.24
    Activations Density 0.022%

    No Known Activations