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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. 3-RES-JB
    11. 8230
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    Explanations

    references to movie theaters

    oai_token-act-pair · gpt-3.5-turbo

    mentions of theaters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    reme
    -0.73
    rab
    -0.69
    TON
    -0.61
    overy
    -0.61
    ded
    -0.59
     biom
    -0.58
    ATH
    -0.58
    owder
    -0.57
    raid
    -0.57
    Bi
    -0.57
    POSITIVE LOGITS
     theaters
    1.12
     theat
    0.86
    çĶ°
    0.80
    æ©
    0.75
     premie
    0.75
     Tickets
    0.74
     screenings
    0.70
     kios
    0.70
    ourcing
    0.69
    erve
    0.69
    Activations Density 0.018%

    No Known Activations