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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. 23015
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    Explanations

    specific mentions or references to the contents of things

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "contents" in various contexts

    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
    Äĩ
    -0.76
    roads
    -0.76
    ansson
    -0.76
    verbs
    -0.68
     Humph
    -0.65
    paralle
    -0.62
    ILLE
    -0.62
    lease
    -0.62
    arms
    -0.61
    orks
    -0.60
    POSITIVE LOGITS
     contents
    1.00
    matter
    0.93
     thereof
    0.86
    ious
    0.84
    iveness
    0.79
    ions
    0.79
     Contents
    0.77
    paces
    0.75
     drawer
    0.74
     therein
    0.69
    Activations Density 0.035%

    No Known Activations