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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. 8736
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    Explanations

    phrases related to short durations of time

    oai_token-act-pair · gpt-3.5-turbo

    descriptors related to duration and brevity of time

    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
    ources
    -0.84
    kus
    -0.84
    ufact
    -0.80
    retty
    -0.76
    hers
    -0.75
    rollers
    -0.74
    rogens
    -0.74
    osponsors
    -0.73
    ULTS
    -0.73
    obal
    -0.72
    POSITIVE LOGITS
     stint
    1.01
     snippet
    0.97
     glimpse
    0.95
     interruption
    0.94
     cameo
    0.92
     excerpt
    0.90
     resp
    0.90
     interval
    0.90
    case
    0.90
     hiatus
    0.88
    Activations Density 0.104%

    No Known Activations