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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. 7-RES-JB
    11. 5164
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    INDEX
    Explanations

    mentions of sizes or measurements, specifically in the metric system

    oai_token-act-pair · gpt-3.5-turbo

    references to measurements in millimeters

    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
    Reply
    -0.67
     manifest
    -0.67
     Bind
    -0.67
    Else
    -0.66
     yours
    -0.63
     reass
    -0.63
     compr
    -0.63
     Norn
    -0.61
     eminent
    -0.60
     bond
    -0.60
    POSITIVE LOGITS
    enium
    1.64
    imet
    1.51
    imeters
    1.34
    imeter
    1.31
    ipl
    1.14
    ennial
    1.09
    inery
    1.07
    enary
    1.02
    mill
    0.99
    iard
    0.98
    Activations Density 0.022%

    No Known Activations