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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. 7-RES-JB
    11. 9877
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    Explanations

    specific time-related phrases, particularly instances when something was realized or happened

    oai_token-act-pair · gpt-3.5-turbo

    temporal phrases indicating the occurrence of events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     sails
    -0.73
    ħĭ
    -0.65
    terday
    -0.63
     plurality
    -0.62
    äºĶ
    -0.62
    spell
    -0.60
    loop
    -0.60
    lander
    -0.60
     assume
    -0.58
     subscrib
    -0.58
    POSITIVE LOGITS
    atto
    0.77
    hani
    0.67
    idia
    0.64
    adh
    0.64
    erest
    0.64
    elia
    0.64
    ev
    0.60
    iosyncr
    0.60
     Contents
    0.59
     fitting
    0.59
    Activations Density 0.177%

    No Known Activations