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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. 7-RES-JB
    6. 15932
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    Explanations

    references to spans of time, particularly in number form

    oai_token-act-pair · gpt-3.5-turbo

    numerical values representing quantities or durations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     abbre
    -0.66
     Caption
    -0.65
     moderator
    -0.64
    rike
    -0.64
     turnout
    -0.61
    ashtra
    -0.60
     Ahead
    -0.58
    encer
    -0.57
    imaru
    -0.56
    llor
    -0.55
    POSITIVE LOGITS
     years
    1.11
     weeks
    1.07
     months
    1.05
     generations
    1.02
     decades
    0.99
     consecutive
    0.98
     days
    0.98
    months
    0.97
     minutes
    0.97
     hours
    0.96
    Activations Density 0.180%

    No Known Activations