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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. 6-RES-JB
    6. 3972
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    Explanations

    specific nouns related to information or subjects of discussion

    oai_token-act-pair · gpt-3.5-turbo

    nouns or terms related to objects, events, or concepts that signify important elements within a document

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hovah
    -0.60
    anwhile
    -0.53
    layer
    -0.52
    ofi
    -0.52
    conservancy
    -0.50
     Lover
    -0.49
     Fortune
    -0.48
    uilt
    -0.47
     Canaveral
    -0.47
    joice
    -0.47
    POSITIVE LOGITS
     lightly
    0.59
    natureconservancy
    0.59
     herein
    0.58
     methodology
    0.53
    METHOD
    0.52
    Abstract
    0.51
    Applic
    0.51
    enge
    0.50
     GOODMAN
    0.50
     imply
    0.49
    Activations Density 1.142%

    No Known Activations