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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. 13543
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    Explanations

    phrases related to the city of Beijing

    oai_token-act-pair · gpt-3.5-turbo

    the word "Beijing" and its contexts, possibly indicating a focus on mentions of this location

    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
     glide
    -0.70
     drift
    -0.69
     firsthand
    -0.68
     Ples
    -0.67
     residue
    -0.65
     resonance
    -0.65
    ilver
    -0.65
     hoops
    -0.64
     Relief
    -0.64
     procedure
    -0.63
    POSITIVE LOGITS
    yond
    1.29
    hemoth
    1.24
    arers
    1.23
    aum
    1.22
    arer
    1.17
    acons
    1.15
    ech
    1.13
    ijing
    1.09
    aker
    1.04
    auc
    1.03
    Activations Density 0.030%

    No Known Activations