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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. 9-RES-JB
    6. 13829
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    Explanations

    phrases related to developments or changes occurring over a period of time

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of time and its passage

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    VK
    -0.76
    eva
    -0.73
    ariat
    -0.72
    ļé
    -0.72
    Vs
    -0.71
    Bey
    -0.70
     Yesterday
    -0.68
    awan
    -0.67
    ulo
    -0.67
    Hub
    -0.67
    POSITIVE LOGITS
     iterations
    0.80
     generations
    0.75
    frames
    0.74
     horizon
    0.68
     periods
    0.66
    deals
    0.65
     ILCS
    0.63
     assimil
    0.62
     millennia
    0.62
     reinforcing
    0.62
    Activations Density 0.111%

    No Known Activations