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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. 4884
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    Explanations

    references to the name "Dou" or variations of it

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of a specific name or term related to a notable individual

    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
    ocene
    -0.90
     IST
    -0.87
    opathy
    -0.83
     guiActiveUnfocused
    -0.71
    ocamp
    -0.69
    acea
    -0.69
    othal
    -0.69
     Equip
    -0.67
    é»Ĵ
    -0.67
    akeru
    -0.66
    POSITIVE LOGITS
    bles
    1.26
    bled
    1.25
    bling
    1.24
    plet
    1.09
    bler
    1.04
    bt
    1.03
    blers
    1.01
    plets
    0.97
    rier
    0.96
    quet
    0.91
    Activations Density 0.024%

    No Known Activations