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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. 3-RES-JB
    6. 10540
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    Explanations

    references to a specific term or location, "Sh"

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "Sh."

    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
    etheless
    -1.00
    anwhile
    -0.81
     numbered
    -0.78
    ãĥ¼ãĥĨãĤ£
    -0.76
    ãĥ¼ãĥĨ
    -0.75
     confir
    -0.74
     Ajax
    -0.71
    IUM
    -0.70
    OLOGY
    -0.68
     Leth
    -0.67
    POSITIVE LOGITS
    allow
    1.19
    aky
    1.14
    ooting
    1.12
    ifty
    1.12
    attering
    1.11
    uff
    1.11
    isha
    1.10
    attered
    1.10
    aken
    1.10
    apesh
    1.09
    Activations Density 0.021%

    No Known Activations