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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 23356
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    Explanations

    words related to time spans, often referring to recent or past events

    oai_token-act-pair · gpt-3.5-turbo

    references to time periods and recent events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    •GPT2 L10 resid: 'LRRRRRLLRRRL'[-1]
    •GPT2 L10 resid: 'LRRRRRLLRRRL'[:-2]
    •GPT2 L10 resid: 'LRRRRRLLRRRL'[:-3]

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    Negative Logits
    ITNESS
    -0.64
    umbledore
    -0.63
    Fax
    -0.62
     aspirin
    -0.61
     Conversation
    -0.61
     THEN
    -0.57
    inals
    -0.56
    uni
    -0.56
     sterile
    -0.55
     simpler
    -0.55
    POSITIVE LOGITS
     thanks
    1.01
     owing
    0.92
     lately
    0.90
     due
    0.88
     since
    0.88
     garner
    0.87
     evidenced
    0.87
     stemming
    0.86
     ranging
    0.85
     showcasing
    0.83
    Activations Density 0.501%

    No Known Activations