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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. 3-RES-JB
    11. 22976
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    INDEX
    Explanations

    mentions of the word "Safe" and variations with different capitalized letters

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "Saf" (or variations) relevant to safety or security contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Neptune
    -0.65
    icularly
    -0.65
    judicial
    -0.64
    hunt
    -0.63
    lift
    -0.63
    landish
    -0.61
     boiling
    -0.60
     Father
    -0.60
     deaf
    -0.59
    ysis
    -0.59
    POSITIVE LOGITS
    eties
    1.33
    eco
    1.05
    eway
    0.97
    egu
    0.90
    saf
    0.87
    aris
    0.85
    avid
    0.81
     Saf
    0.80
    dar
    0.79
    oot
    0.78
    Activations Density 0.008%

    No Known Activations