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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. 7-RES-JB
    11. 5160
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    Explanations

    specific times of day stated in the evening

    oai_token-act-pair · gpt-3.5-turbo

    references to specific times of day expressed in "pm"

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ollah
    -0.77
     acknowled
    -0.73
     resemb
    -0.71
     behav
    -0.66
     covari
    -0.64
     induct
    -0.62
    gotten
    -0.60
    ey
    -0.58
    govern
    -0.58
    beit
    -0.58
    POSITIVE LOGITS
     EDT
    1.24
     EST
    1.22
     PDT
    1.21
     PST
    1.14
     CET
    1.10
     CST
    1.05
     GMT
    1.05
     BST
    1.01
     UTC
    1.00
     ET
    0.93
    Activations Density 0.035%

    No Known Activations