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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. 7-RES-JB
    11. 4888
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    Explanations

    references to future time frames

    oai_token-act-pair · gpt-3.5-turbo

    references to future timeframes or upcoming events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lees
    -0.82
    theless
    -0.81
    xual
    -0.70
    lee
    -0.67
    bos
    -0.67
     Franch
    -0.67
    lua
    -0.66
    agar
    -0.66
    had
    -0.65
    ini
    -0.64
    POSITIVE LOGITS
     generation
    1.17
     installment
    1.08
     decade
    1.00
     iteration
    0.99
     step
    0.95
     generations
    0.95
     phase
    0.91
     millenn
    0.90
     batch
    0.89
     crop
    0.88
    Activations Density 0.036%

    No Known Activations