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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. 8-RES-JB
    11. 23511
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    Explanations

    memories or references to memories

    oai_token-act-pair · gpt-3.5-turbo

    references to memory and memories

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ahime
    -0.78
    ats
    -0.73
    ModLoader
    -0.71
    qa
    -0.70
    assi
    -0.70
    Cu
    -0.68
    annis
    -0.68
    adiator
    -0.67
    aye
    -0.66
    iola
    -0.65
    POSITIVE LOGITS
     Memories
    1.02
     memories
    0.98
    remember
    0.98
     recollection
    0.94
     lapse
    0.88
     vividly
    0.88
     nostalg
    0.87
     remembered
    0.86
     remem
    0.84
    fulness
    0.84
    Activations Density 0.053%

    No Known Activations