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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. 7-RES-JB
    6. 20959
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    INDEX
    Explanations

    phrases related to addition or increase

    oai_token-act-pair · gpt-3.5-turbo

    instances of additive language or phrases indicating accumulation or addition

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĸ¬
    -0.73
    externalActionCode
    -0.71
    Consumer
    -0.68
     resemb
    -0.68
    ãĥīãĥ©ãĤ´ãĥ³
    -0.67
    ··
    -0.64
     exha
    -0.64
    COLOR
    -0.64
    APH
    -0.62
    NING
    -0.62
    POSITIVE LOGITS
    icted
    1.28
    itional
    1.23
    itionally
    1.19
    iction
    1.17
    resses
    1.09
    icts
    1.07
    ressed
    1.05
    ictive
    1.05
    ition
    1.05
    ened
    1.03
    Activations Density 0.013%

    No Known Activations