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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. 9-RES-JB
    11. 10173
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    INDEX
    Explanations

    phrases related to the concept of loss

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating loss or decrease

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    erity
    -0.67
    better
    -0.67
    liest
    -0.65
    flix
    -0.62
    aceae
    -0.62
    gest
    -0.61
    eus
    -0.61
    gor
    -0.60
     downfall
    -0.60
    Better
    -0.60
    POSITIVE LOGITS
     sorts
    0.96
     hostilities
    0.84
     consciousness
    0.80
     Funds
    0.79
     funds
    0.78
     limbs
    0.74
     course
    0.72
     goods
    0.70
     disbelief
    0.68
     fortune
    0.66
    Activations Density 0.131%

    No Known Activations