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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. 17158
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    INDEX
    Explanations

    memories or past events

    oai_token-act-pair · gpt-3.5-turbo

    repeated references to the word "Remember" or its variants and phrases indicating recollection

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    \\\\\\\\\\\\\\\\
    -0.74
    China
    -0.73
    DE
    -0.71
    ECD
    -0.70
    elle
    -0.69
    DN
    -0.68
    hou
    -0.68
    Japan
    -0.68
    HK
    -0.67
    Beast
    -0.65
    POSITIVE LOGITS
    remember
    1.20
     remembering
    1.00
     Recall
    0.92
     Remember
    0.89
     remember
    0.87
     remembrance
    0.87
     remembered
    0.86
    theless
    0.80
     recollection
    0.77
     remem
    0.77
    Activations Density 0.012%

    No Known Activations