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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. 0-RES-JB
    11. 470
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    INDEX
    Explanations

    adjectives related to size, specifically emphasizing largeness

    oai_token-act-pair · gpt-3.5-turbo

    references to large quantities or scales

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Doc
    -0.74
    hon
    -0.72
     Posted
    -0.71
    iev
    -0.70
    ocide
    -0.68
    istry
    -0.67
     inspires
    -0.66
     (@
    -0.65
    erve
    -0.64
    ophobia
    -0.64
    POSITIVE LOGITS
     large
    3.16
    large
    2.18
    Large
    2.15
     sizable
    2.08
     larger
    2.08
     sizeable
    2.07
     Large
    2.07
     small
    2.00
     huge
    1.89
     smaller
    1.80
    Activations Density 0.027%

    No Known Activations