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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
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    Explanations

    instances where the word "remember" is mentioned

    oai_token-act-pair · gpt-3.5-turbo

    repetitions of the word "remember"

    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
    amen
    -0.72
    asse
    -0.68
     Bahamas
    -0.65
    Fight
    -0.63
    Torrent
    -0.62
    itte
    -0.61
    eled
    -0.61
    EU
    -0.61
    ashed
    -0.61
    inance
    -0.60
    POSITIVE LOGITS
    remember
    1.22
     remembering
    1.08
     remembered
    1.06
     Remem
    0.95
     remembrance
    0.93
     remember
    0.92
    ĸļ
    0.91
     remembers
    0.90
     recalling
    0.88
     recollection
    0.86
    Activations Density 0.017%

    No Known Activations