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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. 9-RES-JB
    11. 9025
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    Explanations

    words related to digital formats and technology, particularly focusing on Blu-ray Discs

    oai_token-act-pair · gpt-3.5-turbo

    references to Blu-ray and DVD releases

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ETHOD
    -0.72
     disturbance
    -0.71
    orem
    -0.67
     Democr
    -0.67
     idiosyncr
    -0.66
    atican
    -0.66
     Uriel
    -0.66
    oret
    -0.66
     BASE
    -0.65
     Shutterstock
    -0.64
    POSITIVE LOGITS
    ray
    1.22
    rays
    0.98
    Ray
    0.97
    Cola
    0.88
    cell
    0.87
    sided
    0.84
    eared
    0.79
    ombs
    0.76
    eye
    0.75
    linear
    0.75
    Activations Density 0.043%

    No Known Activations