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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. 1398
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    Explanations

    phrases related to major changes or turning points in a situation

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to change or shifting circumstances

    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
    catentry
    -0.74
     guiActiveUn
    -0.72
     background
    -0.70
    illac
    -0.70
     subsistence
    -0.69
     sqor
    -0.67
    ussian
    -0.64
    tein
    -0.64
    otropic
    -0.64
    lycer
    -0.63
    POSITIVE LOGITS
     swung
    0.76
     OPEN
    0.76
    urned
    0.75
     squarely
    0.73
     swinging
    0.72
     ticking
    0.70
     Kinn
    0.68
     beck
    0.68
     ruby
    0.68
    glass
    0.66
    Activations Density 0.371%

    No Known Activations