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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. 3-RES-JB
    11. 23254
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    Explanations

    memories or recollections

    oai_token-act-pair · gpt-3.5-turbo

    instances 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 @ 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
    oit
    -0.68
    amen
    -0.67
    goo
    -0.66
    \\\\\\\\\\\\\\\\
    -0.65
     Bahamas
    -0.64
    asse
    -0.64
    itte
    -0.63
    eled
    -0.62
    assi
    -0.62
    utenberg
    -0.61
    POSITIVE LOGITS
    remember
    1.19
     remembering
    1.03
     remembered
    1.00
     recollection
    0.92
     Remem
    0.92
     vividly
    0.91
    ĸļ
    0.89
     remember
    0.88
     remembrance
    0.88
     recalling
    0.87
    Activations Density 0.020%

    No Known Activations