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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. 0-RES-JB
    6. 10531
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    Explanations

    words related to telegrams

    oai_token-act-pair · gpt-3.5-turbo

    mentions of telegrams and related content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     overrun
    -0.66
     Ai
    -0.65
     immune
    -0.65
     Occup
    -0.64
     Oo
    -0.62
     pop
    -0.62
     Mis
    -0.61
     biome
    -0.61
     CLS
    -0.60
     Aber
    -0.59
    POSITIVE LOGITS
    legram
    4.40
     Telegram
    2.36
    legraph
    2.13
    astern
    1.49
    hran
    1.27
    imeo
    1.10
    alions
    1.06
    ewitness
    1.04
     Lama
    1.04
    cester
    0.97
    Activations Density 0.023%

    No Known Activations