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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. 20752
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    INDEX
    Explanations

    phrases related to rapid growth or escalation

    oai_token-act-pair · gpt-3.5-turbo

    references to escalating events or situations, particularly in a dramatic or sensational context

    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
    ns
    -1.06
    nel
    -0.94
    agnetic
    -0.91
    rants
    -0.89
    acles
    -0.88
    bos
    -0.87
    nen
    -0.87
    wich
    -0.85
    nes
    -0.85
    mpeg
    -0.83
    POSITIVE LOGITS
     Pengu
    0.77
     snowball
    0.76
    IFE
    0.73
     BUS
    0.72
     avalanche
    0.72
    WAYS
    0.71
     GROUP
    0.67
     grav
    0.67
    ãĥ³ãĤ¸
    0.67
    ãĤĭ
    0.65
    Activations Density 0.032%

    No Known Activations