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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. 6-RES-JB
    11. 5116
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    Explanations

    technical terms and procedures such as methods, processes, and tools

    oai_token-act-pair · gpt-3.5-turbo

    methods and techniques related to processes or systems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ebook
    -0.65
    Wonder
    -0.64
     Wolver
    -0.63
     Wolves
    -0.62
     hadn
    -0.61
    Suddenly
    -0.61
    Had
    -0.61
    court
    -0.59
     Gork
    -0.59
    Hours
    -0.59
    POSITIVE LOGITS
     commonly
    0.85
    igmatic
    0.85
    yip
    0.82
    tymology
    0.79
     simplest
    0.79
    aceae
    0.79
     facult
    0.78
     Definition
    0.77
     easiest
    0.76
    common
    0.76
    Activations Density 0.789%

    No Known Activations