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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. 4087
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    INDEX
    Explanations

    state abbreviations within specific tokens

    oai_token-act-pair · gpt-3.5-turbo

    abbreviations or acronyms related to locations or entities

    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
     tert
    -0.74
     occas
    -0.70
     Ramos
    -0.70
     tremend
    -0.69
    ADRA
    -0.68
    imens
    -0.68
     flare
    -0.68
    ãĤ´
    -0.66
     Tok
    -0.66
     Gupta
    -0.65
    POSITIVE LOGITS
    bread
    1.16
    ings
    1.12
    shed
    0.99
    ishly
    0.98
    grass
    0.95
    sheet
    0.94
    ingly
    0.94
    sheets
    0.94
    cakes
    0.93
    lings
    0.92
    Activations Density 0.172%

    No Known Activations