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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. 10-RES-JB
    11. 1332
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    Explanations

    references to memories or recollections

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •henryjames

    No Comments

    Negative Logits
    wered
    -0.72
    jab
    -0.71
    annis
    -0.70
    ats
    -0.70
    mans
    -0.69
    ahime
    -0.68
    doms
    -0.67
    iola
    -0.66
    assi
    -0.66
    ANY
    -0.65
    POSITIVE LOGITS
     memories
    0.99
     retrieval
    0.99
     Memories
    0.97
     lapse
    0.95
    remember
    0.93
     recollection
    0.91
     nostalg
    0.86
     remem
    0.85
     erased
    0.83
     vividly
    0.83
    Activations Density 0.036%

    No Known Activations