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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. 9-RES-JB
    11. 16658
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    Explanations

    phrases or sentences that refer to events or actions that happened before a specific point in time

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating prior conditions or events leading up to an incident

    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

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    Negative Logits
    ards
    -0.84
     Cosponsors
    -0.78
    among
    -0.75
     largeDownload
    -0.72
    çļ
    -0.71
    eps
    -0.71
    ĺ
    -0.68
    unny
    -0.68
    framework
    -0.67
    ered
    -0.67
    POSITIVE LOGITS
     arrival
    1.13
     publication
    1.12
     enactment
    1.11
     completion
    1.09
     signing
    1.08
     joining
    1.06
     embark
    1.05
     entering
    1.03
     arriving
    1.02
     becoming
    1.02
    Activations Density 0.071%

    No Known Activations