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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. 0-RES-JB
    11. 4800
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    Explanations

    words related to resilience and determination

    oai_token-act-pair · gpt-3.5-turbo

    terms related to perseverance and recovery

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    viol
    -0.87
     Kafka
    -0.78
    ographers
    -0.76
     OnePlus
    -0.76
     Vienna
    -0.75
    dates
    -0.72
    ropri
    -0.72
    Circ
    -0.72
     embro
    -0.71
    sky
    -0.71
    POSITIVE LOGITS
     resilience
    2.06
     grit
    1.96
     resilient
    1.96
     toughness
    1.81
     regeneration
    1.69
     toxins
    1.52
     regener
    1.49
     regenerate
    1.40
     Regener
    1.38
     willpower
    1.28
    Activations Density 0.069%

    No Known Activations