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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. 7-RES-JB
    6. 21954
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    Explanations

    descriptions related to characteristics or qualities of different objects or concepts

    oai_token-act-pair · gpt-3.5-turbo

    phrases and words that convey emotional intensity or descriptions of experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iatus
    -0.67
    exempt
    -0.64
     ABE
    -0.64
    erous
    -0.63
     Provision
    -0.62
    enary
    -0.60
    ãĥ¯ãĥ³
    -0.60
     Archive
    -0.59
    idential
    -0.58
    copy
    -0.58
    POSITIVE LOGITS
     playful
    0.71
     reminiscent
    0.70
     mesmer
    0.69
     gorge
    0.68
     exhilar
    0.67
     pleasing
    0.67
     intox
    0.65
     shades
    0.65
     refreshing
    0.64
     capt
    0.63
    Activations Density 0.903%

    No Known Activations