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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. 7-RES-JB
    11. 19396
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    Explanations

    terms related to objectives or goals

    oai_token-act-pair · gpt-3.5-turbo

    the term "objective" in various contexts, emphasizing its significance in discussions

    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
    oles
    -0.90
    olini
    -0.87
    oly
    -0.83
    ker
    -0.80
    alter
    -0.80
    aps
    -0.77
    orders
    -0.76
    offs
    -0.75
    letters
    -0.75
     Tycoon
    -0.75
    POSITIVE LOGITS
    ives
    0.91
     Objective
    0.86
    IVES
    0.80
     objective
    0.78
     observer
    0.78
    ignty
    0.76
    ivist
    0.74
     objectives
    0.72
     oriented
    0.71
     creep
    0.69
    Activations Density 0.028%

    No Known Activations