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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. 10-RES-JB
    6. 2392
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    Explanations

    adjectives describing the degree or possibility of something happening

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express potential actions or possibilities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Continued
    -0.77
    oother
    -0.69
    NPR
    -0.64
    finished
    -0.62
    ror
    -0.61
    amar
    -0.61
    RECT
    -0.60
     reassured
    -0.59
    iets
    -0.58
     Passive
    -0.58
    POSITIVE LOGITS
     imaginable
    1.26
     muster
    0.96
     conceivable
    0.91
    ãĥij
    0.82
     possibly
    0.82
    ãĤ«
    0.79
    achus
    0.74
     ever
    0.74
    ãĥ«
    0.73
     disposal
    0.72
    Activations Density 0.153%

    No Known Activations