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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 14667
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    Explanations

    text related to specific characteristics or qualities

    oai_token-act-pair · gpt-3.5-turbo

    mention of characteristics or traits in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aii
    -0.83
    NAS
    -0.73
    kos
    -0.72
    atorial
    -0.71
    endar
    -0.69
    ILLE
    -0.69
    EMS
    -0.68
    ADS
    -0.67
    psc
    -0.67
    heed
    -0.65
    POSITIVE LOGITS
     characteristics
    1.09
     traits
    1.05
    istics
    0.92
     qualities
    0.84
     properties
    0.80
    Features
    0.79
    ively
    0.79
     attributes
    0.78
     weaknesses
    0.71
    natureconservancy
    0.71
    Activations Density 0.030%

    No Known Activations