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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. 8-RES-JB
    11. 10896
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    Explanations

    expressions related to feeling tired or fed up with a situation

    oai_token-act-pair · gpt-3.5-turbo

    expressions of frustration or fatigue related to repetitive experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rha
    -0.78
    osen
    -0.70
     latitude
    -0.68
    afort
    -0.67
    obook
    -0.66
    rium
    -0.66
    NK
    -0.65
    ift
    -0.63
    eele
    -0.63
    ledged
    -0.61
    POSITIVE LOGITS
     wasting
    1.04
     waiting
    0.91
     boring
    0.88
     seeing
    0.85
     debating
    0.81
     chasing
    0.80
     pretending
    0.79
     complaining
    0.78
     staring
    0.78
     hearing
    0.77
    Activations Density 0.091%

    No Known Activations