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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. 6-RES-JB
    11. 21856
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    Explanations

    descriptions of physical actions and locations

    oai_token-act-pair · gpt-3.5-turbo

    details related to events involving arrival and emotional responses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Pwr
    -0.68
    fact
    -0.60
    brain
    -0.60
    £ı
    -0.57
    nesia
    -0.56
    Fact
    -0.55
    Brain
    -0.54
     liability
    -0.52
    oxin
    -0.51
    ²¾
    -0.50
    POSITIVE LOGITS
     onlook
    0.83
     passers
    0.79
     midday
    0.78
     chanting
    0.75
     spectators
    0.74
     makeshift
    0.73
     dusk
    0.71
     procession
    0.71
     waving
    0.69
    tyard
    0.68
    Activations Density 0.911%

    No Known Activations