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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. 2-RES-JB
    11. 5720
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    Explanations

    phrases related to being cautious or attentive to detail

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "carefully."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tein
    -0.67
     Seah
    -0.66
    SN
    -0.66
     Garfield
    -0.66
    NF
    -0.64
    upon
    -0.64
    oran
    -0.63
     NFC
    -0.63
    rice
    -0.63
     Panc
    -0.62
    POSITIVE LOGITS
     scrutin
    0.85
     distingu
    0.82
     calibr
    0.80
     carefully
    0.78
     calibrated
    0.78
     guarded
    0.78
     tailored
    0.76
     nurt
    0.75
     enough
    0.72
    umenthal
    0.72
    Activations Density 0.012%

    No Known Activations