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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. 8-RES-JB
    11. 10870
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    Explanations

    time-related events and locations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of temporal phrases and references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    THING
    -0.71
    $$$$
    -0.70
    ité
    -0.67
    onica
    -0.65
     Examiner
    -0.65
    something
    -0.65
    mod
    -0.64
    IRT
    -0.62
    orem
    -0.62
    CTV
    -0.61
    POSITIVE LOGITS
     vain
    0.99
     succession
    0.98
     recent
    0.95
     past
    0.89
    etimes
    0.86
     varying
    0.85
     various
    0.80
     successive
    0.79
     tandem
    0.79
     pursuit
    0.77
    Activations Density 0.352%

    No Known Activations