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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. 1-RES-JB
    11. 2550
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    INDEX
    Explanations

    mentions of objects or events associated with emergency situations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to flares and their occurrences in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nesota
    -0.90
    ele
    -0.84
    */(
    -0.75
    ipeg
    -0.74
    ittee
    -0.74
    EY
    -0.71
    phis
    -0.71
    æĸ¹
    -0.71
    UFC
    -0.70
    ä½ľ
    -0.70
    POSITIVE LOGITS
     flares
    1.69
     flare
    1.45
     flared
    1.02
     eru
    0.80
     refuel
    0.79
     sparks
    0.77
     empt
    0.75
    lights
    0.74
     fuel
    0.73
     flashes
    0.72
    Activations Density 0.006%

    No Known Activations