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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. 4-RES-JB
    11. 4279
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    Explanations

    words related to optics or vision-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to "Opt" or its variations in a scientific or technical context

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

    No Comments

    Negative Logits
    UGH
    -0.79
    ppo
    -0.76
    è¦ļéĨĴ
    -0.70
    SHIP
    -0.70
     è£ı
    -0.70
    ãĤ£
    -0.70
    ptives
    -0.68
    ãĥĨãĤ£
    -0.68
    FORE
    -0.67
    nces
    -0.67
    POSITIVE LOGITS
    imum
    1.02
     opt
    0.99
    imal
    0.92
    ometry
    0.90
    oshenko
    0.90
    ima
    0.86
    omet
    0.85
    aye
    0.85
    ometric
    0.82
    icians
    0.82
    Activations Density 0.005%

    No Known Activations