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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. 0-RES-JB
    11. 15566
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    Explanations

    references to achieving or setting goals

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of a "goal."

    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
     Zimmer
    -0.68
    ilies
    -0.67
    greg
    -0.66
     Reynolds
    -0.64
    shows
    -0.63
    renches
    -0.61
     Claud
    -0.60
    forms
    -0.59
    ine
    -0.59
    edd
    -0.58
    POSITIVE LOGITS
     goal
    3.64
    goal
    2.71
     goals
    2.59
     Goal
    2.50
    Goal
    2.40
     Goals
    2.12
     aim
    2.03
     objective
    1.85
     objectives
    1.68
     purpose
    1.52
    Activations Density 0.019%

    No Known Activations