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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. 10-RES-JB
    6. 18396
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    Explanations

    items associated with descriptions of objects or attributes

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate value or importance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    projects
    -0.80
    sports
    -0.76
    ouble
    -0.75
    GROUP
    -0.74
    Nation
    -0.74
    owship
    -0.72
    ateurs
    -0.72
    Train
    -0.70
     Volunte
    -0.70
    onse
    -0.70
    POSITIVE LOGITS
     resemblance
    1.13
     twist
    1.04
     expiration
    1.01
     characteristics
    1.00
     diameter
    0.98
     dimensions
    0.97
     similarity
    0.97
     inscription
    0.96
     suffix
    0.91
     purpose
    0.91
    Activations Density 0.370%

    No Known Activations