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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. 2337
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    Explanations

    phrases indicating actions or processes that are facilitated by the absence of additional steps or requirements

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express the concept of performing actions without unnecessary prerequisites or limitations

    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
     Vald
    -0.70
    thouse
    -0.67
    undrum
    -0.66
    geist
    -0.66
    eport
    -0.64
    nia
    -0.64
    å§«
    -0.64
    oret
    -0.63
    aire
    -0.63
     ..............
    -0.63
    POSITIVE LOGITS
     slightest
    0.74
     necessarily
    0.73
     whatsoever
    0.73
     oneself
    0.72
     interruption
    0.69
     explicitly
    0.68
     bloodshed
    0.64
     anything
    0.63
     interference
    0.62
     attribution
    0.62
    Activations Density 0.122%

    No Known Activations