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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 20975
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    Explanations

    terms related to the beginning of events or actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate a temporal context or the beginning of events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    webkit
    -0.65
    usercontent
    -0.60
     blot
    -0.59
    æ³
    -0.59
    houses
    -0.59
    ?:
    -0.56
    ros
    -0.55
     notwithstanding
    -0.55
     Walters
    -0.55
     wastes
    -0.55
    POSITIVE LOGITS
     hostilities
    0.86
    requisite
    0.80
    thood
    0.77
    requisites
    0.72
    ahime
    0.71
    uberty
    0.66
    ventory
    0.66
    earch
    0.64
    enium
    0.63
    phase
    0.63
    Activations Density 0.090%

    No Known Activations