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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. 4-RES-JB
    11. 1492
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    Explanations

    dates written in the format 'Month Year' with strong activations for particular years like 2013, 2017, 2012, 2016, and 2015

    oai_token-act-pair · gpt-3.5-turbo

    dates and their corresponding months in a chronological context

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

    No Comments

    Negative Logits
    aterasu
    -0.66
    glers
    -0.66
    igans
    -0.65
    anchester
    -0.65
    urat
    -0.64
    ocations
    -0.64
     Appalach
    -0.64
    inki
    -0.64
     swirl
    -0.63
    onica
    -0.63
    POSITIVE LOGITS
    oola
    0.79
    govtrack
    0.79
     Admission
    0.73
    scl
    0.71
    Dur
    0.68
    Steam
    0.67
    achable
    0.67
    ceptor
    0.66
    pole
    0.66
    Truth
    0.65
    Activations Density 0.342%

    No Known Activations