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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. 4-RES-JB
    11. 13675
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    Explanations

    terms related to goals, intentions, or objectives

    oai_token-act-pair · gpt-3.5-turbo

    references to objectives or goals

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

    No Comments

    Negative Logits
    oles
    -0.90
    artifacts
    -0.83
     Tycoon
    -0.82
    oly
    -0.80
    oling
    -0.76
    letters
    -0.76
    cano
    -0.74
    edition
    -0.73
    jen
    -0.72
    ital
    -0.71
    POSITIVE LOGITS
     objective
    0.93
     Objective
    0.93
    ives
    0.91
     observer
    0.81
    ignty
    0.80
     guiActiveUn
    0.80
    IVES
    0.76
     objectives
    0.73
    JECT
    0.69
    terday
    0.69
    Activations Density 0.012%

    No Known Activations