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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. 15977
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    the end of document tokens

    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
    ĻĤ
    -0.81
     notor
    -0.78
     challeng
    -0.77
    arching
    -0.75
    etheless
    -0.72
     tremend
    -0.72
     autonom
    -0.72
     toget
    -0.71
     suspic
    -0.71
     destro
    -0.69
    POSITIVE LOGITS
     Clause
    1.07
     Room
    1.06
     Desk
    1.01
     Pieces
    1.01
     Yards
    1.00
     Guys
    0.99
     Collection
    0.99
     Score
    0.98
     Productions
    0.97
     Disorders
    0.97
    Activations Density 0.415%

    No Known Activations