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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. 4-RES-JB
    11. 10533
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    Explanations

    expressions related to time, particularly phrases that mention 'day to day' activities

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to daily routines and temporal references

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

    No Comments

    Negative Logits
    Squ
    -0.81
     Alternatively
    -0.65
    went
    -0.62
    allowed
    -0.62
    Zip
    -0.60
    antha
    -0.60
    Tan
    -0.60
    OUNT
    -0.60
    BALL
    -0.60
    Yellow
    -0.59
    POSITIVE LOGITS
     metab
    0.68
     antics
    0.62
     insults
    0.62
     extent
    0.61
    umatic
    0.60
     motions
    0.60
     outburst
    0.59
     dismiss
    0.59
    heimer
    0.59
    venge
    0.58
    Activations Density 0.091%

    No Known Activations