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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 1-RES-JB
    11. 16260
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    Explanations

    phrases related to reports or statements made by individuals

    oai_token-act-pair · gpt-3.5-turbo

    instances of a particular symbol or character

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     outline
    -0.73
     manifesto
    -0.68
     sclerosis
    -0.68
     ponder
    -0.67
     shape
    -0.66
    ufact
    -0.66
     indictment
    -0.65
     handshake
    -0.65
     simplest
    -0.64
     integ
    -0.64
    POSITIVE LOGITS
    Ŀ
    1.22
    ļ
    0.99
    Ĭ
    0.94
    ¼
    0.93
    ÏĦ
    0.93
    ĩ
    0.88
    Ĺ
    0.88
    º
    0.88
    çľ
    0.87
    é¾į
    0.85
    Activations Density 0.251%

    No Known Activations