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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. 3-RES-JB
    11. 20427
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    Explanations

    words related to determining or analyzing information

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to establishing or assessing various determinations or evaluations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    athi
    -0.80
    nic
    -0.71
    door
    -0.71
    jet
    -0.69
    rams
    -0.67
    hell
    -0.66
    Jac
    -0.66
    atha
    -0.66
    Bio
    -0.66
    jay
    -0.66
    POSITIVE LOGITS
     determine
    0.80
     determines
    0.78
     Lauder
    0.76
    uate
    0.74
    ially
    0.73
     whether
    0.72
    ively
    0.72
    ministic
    0.68
    cules
    0.67
     Tsukuyomi
    0.66
    Activations Density 0.013%

    No Known Activations