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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. 1095
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    Explanations

    words written in a specific language or encoding

    oai_token-act-pair · gpt-3.5-turbo

    instances of a specific character or symbol often associated with encoding issues or non-standard characters

    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
    ebted
    -0.84
     Faw
    -0.72
    BuyableInstoreAndOnline
    -0.71
     Starr
    -0.67
    staking
    -0.64
     Druid
    -0.63
    vier
    -0.62
    cliffe
    -0.62
     Smile
    -0.61
     Hann
    -0.60
    POSITIVE LOGITS
    ¹
    1.42
    Ķ
    1.40
    ³
    1.36
    Ŀ
    1.34
    ±
    1.34
    ¿
    1.32
    ł
    1.32
    Ĵ
    1.31
    ¡
    1.30
    ļ
    1.28
    Activations Density 0.005%

    No Known Activations