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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. 11093
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    Explanations

    scientific or technical terms related to assessment or measurements

    oai_token-act-pair · gpt-3.5-turbo

    nouns that refer to different types of constructions or modifications

    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
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    No Comments

    Negative Logits
     mosqu
    -0.71
    asus
    -0.68
     Citiz
    -0.65
    tiny
    -0.64
    Mos
    -0.64
     earthqu
    -0.63
    CHAR
    -0.61
     subur
    -0.61
    Effective
    -0.60
    ãĥ£
    -0.58
    POSITIVE LOGITS
    ettings
    1.12
    uggest
    1.12
    hower
    1.11
    hip
    1.04
    mith
    1.03
    uits
    1.00
    leeve
    0.96
    hooting
    0.94
    ktop
    0.94
    omething
    0.93
    Activations Density 0.118%

    No Known Activations