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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. 3-RES-JB
    11. 5214
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    Explanations

    references to projects with varying degrees of importance or progress

    oai_token-act-pair · gpt-3.5-turbo

    references to various ongoing projects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    osate
    -0.86
    DOS
    -0.81
    dos
    -0.80
    vae
    -0.78
    gans
    -0.72
    ãģĦ
    -0.71
    gel
    -0.69
    NetMessage
    -0.68
    clad
    -0.68
    cling
    -0.67
    POSITIVE LOGITS
     Gutenberg
    1.02
    ors
    0.91
    iverse
    0.81
    ually
    0.81
    JECT
    0.76
     manager
    0.76
     projects
    0.76
    projects
    0.74
    smanship
    0.74
     project
    0.74
    Activations Density 0.033%

    No Known Activations