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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. 10543
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    Explanations

    verbs describing actions or decisions influenced by choices, such as 'waiting', 'relying', 'trying', 'silence', 'confronting', and 'recognizing'

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating alternative actions or approaches

    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
    rongh
    -0.68
    quad
    -0.68
    bon
    -0.66
    marked
    -0.64
    added
    -0.64
     Adin
    -0.63
    perty
    -0.63
    mma
    -0.63
     Âł Âł Âł Âł
    -0.62
    rolet
    -0.62
    POSITIVE LOGITS
     blindly
    0.81
     altogether
    0.77
     excuses
    0.76
     anymore
    0.75
     outright
    0.74
    udicrous
    0.74
     passively
    0.71
     anything
    0.69
     simplistic
    0.67
     inconvenient
    0.65
    Activations Density 0.159%

    No Known Activations