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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    references to the name "Wood."

    oai_token-act-pair · gpt-3.5-turbo

    the occurrence of the word "food" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BuyableInstoreAndOnline
    -0.80
    UGE
    -0.72
     MIA
    -0.69
     Canaver
    -0.68
    chal
    -0.67
    ISTER
    -0.67
     Manit
    -0.65
     PV
    -0.65
    ASED
    -0.65
     Constantin
    -0.64
    POSITIVE LOGITS
    ood
    1.19
    ed
    0.93
    ler
    0.91
    lers
    0.90
    iership
    0.90
    rill
    0.89
    yssey
    0.86
    ies
    0.84
    skin
    0.84
    les
    0.84
    Activations Density 0.009%

    No Known Activations