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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. 21009
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    Explanations

    phrases related to specific sections or parts within a larger entity

    oai_token-act-pair · gpt-3.5-turbo

    the term "segment" and its variations, indicating a focus on structured parts or divisions within a context

    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
    Not in Any Lists

    No Comments

    Negative Logits
     opio
    -0.72
     lett
    -0.67
     mother
    -0.64
     fists
    -0.62
     realism
    -0.62
     dra
    -0.61
    stroke
    -0.60
    ggies
    -0.60
    âĺħâĺħ
    -0.59
    CHA
    -0.59
    POSITIVE LOGITS
    ation
    1.06
    ated
    0.88
    naire
    0.83
    ed
    0.81
    eston
    0.80
    regate
    0.80
    ational
    0.80
    arily
    0.79
    meal
    0.79
    ials
    0.79
    Activations Density 0.012%

    No Known Activations