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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. 16342
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    Explanations

    specific dates and events

    oai_token-act-pair · gpt-3.5-turbo

    prepositions and phrases indicating time and location

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ories
    -0.64
    IDA
    -0.62
    RO
    -0.62
    few
    -0.61
    LR
    -0.61
    Higher
    -0.61
     Kop
    -0.59
    OLD
    -0.57
    AE
    -0.56
    INE
    -0.55
    POSITIVE LOGITS
     whom
    0.91
    */(
    0.72
    udeau
    0.70
     persona
    0.68
    insky
    0.66
    assad
    0.66
    pired
    0.65
    acus
    0.63
    è£ħ
    0.62
    pron
    0.61
    Activations Density 0.446%

    No Known Activations