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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. 6-RES-JB
    11. 9365
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    Explanations

    phrases containing the word "coming"

    oai_token-act-pair · gpt-3.5-turbo

    references to future time periods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mel
    -0.85
    cius
    -0.84
    olor
    -0.82
    hemy
    -0.80
    ording
    -0.79
    eva
    -0.75
    paio
    -0.75
    vg
    -0.75
    lua
    -0.74
    inet
    -0.74
    POSITIVE LOGITS
     generations
    1.03
     weeks
    0.99
     days
    0.94
     months
    0.88
     incarnation
    0.86
     week
    0.84
     installment
    0.84
     attractions
    0.83
     generation
    0.83
     iteration
    0.80
    Activations Density 0.022%

    No Known Activations