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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. 11-RES-JB
    11. 14515
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    timestamps referring to events occurring during the day

    oai_token-act-pair · gpt-3.5-turbo

    timestamps related to events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ortunately
    -0.72
    uyomi
    -0.65
     glim
    -0.62
    ensical
    -0.61
     outl
    -0.60
     gamb
    -0.60
    senal
    -0.60
     corrections
    -0.59
     revolt
    -0.59
     unstoppable
    -0.59
    POSITIVE LOGITS
    30
    1.85
    45
    1.72
    15
    1.63
    40
    1.59
    20
    1.55
    50
    1.52
    00
    1.51
    35
    1.49
    55
    1.48
    05
    1.46
    Activations Density 0.027%

    No Known Activations