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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. 3-RES-JB
    6. 11688
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    INDEX
    Explanations

    terms related to specific names or keywords, such as "Potomac" or "Potter"

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "Pot" and its variations in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anwhile
    -0.79
     preached
    -0.66
     detached
    -0.65
    dress
    -0.64
    âĸ¬
    -0.63
    Ń·
    -0.63
    draft
    -0.62
     Witness
    -0.62
     Defenders
    -0.60
     silence
    -0.60
    POSITIVE LOGITS
    atoes
    1.50
    assium
    1.40
    entially
    1.09
    hesda
    1.01
     Pot
    0.99
    luck
    0.97
    entials
    0.97
    onga
    0.94
    Pot
    0.89
    ato
    0.89
    Activations Density 0.007%

    No Known Activations