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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. 6-RES-JB
    11. 11575
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    Explanations

    the word "observer" or its plural form in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of observers in a context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eways
    -0.80
    Enough
    -0.71
    Ingredients
    -0.69
    ahime
    -0.68
    yrics
    -0.67
    Hom
    -0.65
    ten
    -0.65
    enthal
    -0.64
    eating
    -0.64
     Gazette
    -0.63
    POSITIVE LOGITS
     observer
    1.08
     observers
    1.01
    opol
    0.88
     wat
    0.86
     observing
    0.78
    acers
    0.71
     Observer
    0.71
    hower
    0.70
     blinded
    0.69
    auts
    0.68
    Activations Density 0.023%

    No Known Activations