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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. 2-RES-JB
    6. 3737
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    INDEX
    Explanations

    verbs in base form after the word 'can'

    oai_token-act-pair · gpt-3.5-turbo

    negations or phrases expressing inability or restrictions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Reck
    -0.65
     Wol
    -0.64
     intending
    -0.63
     Cly
    -0.60
     Notting
    -0.59
     Kub
    -0.59
     Respons
    -0.58
     guiActiveUnfocused
    -0.56
     Fell
    -0.55
     Oz
    -0.55
    POSITIVE LOGITS
    estine
    0.86
    atche
    0.86
    adian
    0.78
     safely
    0.78
    osta
    0.77
    rouse
    0.76
    apesh
    0.74
     muster
    0.74
    atell
    0.74
     withstand
    0.74
    Activations Density 0.745%

    No Known Activations