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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. 16306
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    Explanations

    phrases indicating a future time span

    oai_token-act-pair · gpt-3.5-turbo

    references to future time frames

    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
     Subject
    -0.66
    ollah
    -0.62
     scanned
    -0.56
     canned
    -0.56
    CI
    -0.56
     atmosp
    -0.55
     sarc
    -0.53
     injected
    -0.53
     FIR
    -0.53
     coded
    -0.53
    POSITIVE LOGITS
    ilers
    1.12
    ggles
    1.00
    iling
    0.91
    date
    0.90
    iler
    0.88
    othy
    0.87
     unfold
    0.85
     come
    0.85
    pless
    0.84
    ggle
    0.83
    Activations Density 0.092%

    No Known Activations