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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. 19970
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    Explanations

    terms related to time, duration, or past events

    oai_token-act-pair · gpt-3.5-turbo

    references to time and temporal phrases

    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
    asive
    -0.66
    Reviewer
    -0.62
     ®
    -0.61
    aldo
    -0.61
    rious
    -0.60
    irtual
    -0.58
    ername
    -0.56
    eness
    -0.55
    anders
    -0.54
    outs
    -0.54
    POSITIVE LOGITS
    terday
    1.24
     days
    1.19
    nesday
    1.16
     weeks
    1.16
     mornings
    1.15
     evenings
    1.13
     morning
    1.12
     afternoon
    1.11
     week
    1.10
     evening
    1.09
    Activations Density 0.945%

    No Known Activations