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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. 4-RES-JB
    11. 9321
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    Explanations

    acronyms

    oai_token-act-pair · gpt-3.5-turbo

    terms related to acronyms and abbreviations

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

    No Comments

    Negative Logits
    rooms
    -0.72
    ebook
    -0.71
    washer
    -0.70
    taboola
    -0.67
    Glass
    -0.66
    igators
    -0.66
    Atl
    -0.65
    Exper
    -0.65
    vag
    -0.64
     Exper
    -0.64
    POSITIVE LOGITS
    viation
    1.37
     abbre
    1.24
     acronym
    1.24
     abbrevi
    1.18
     acron
    0.96
     shortened
    0.92
     notation
    0.91
     prefix
    0.85
     initials
    0.85
     suffix
    0.85
    Activations Density 0.015%

    No Known Activations