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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. 23567
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    Explanations

    terms related to additions or extra elements to something

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to quantity or a statistical measure

    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
    LAN
    -0.92
    rog
    -0.78
    adr
    -0.71
    got
    -0.70
    aby
    -0.70
    rius
    -0.69
    wolf
    -0.69
    athe
    -0.68
     Turing
    -0.67
    bull
    -0.67
    POSITIVE LOGITS
     acres
    0.80
     sized
    0.80
     ILCS
    0.78
     minutes
    0.73
     pounds
    0.72
     degrees
    0.71
     pages
    0.70
     breaths
    0.69
     years
    0.68
     hours
    0.65
    Activations Density 0.019%

    No Known Activations