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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. 5-RES-JB
    6. 2744
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    INDEX
    Explanations

    phrases related to removing or taking away something

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Rem" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    glers
    -0.76
    gerald
    -0.74
    tips
    -0.69
     McCabe
    -0.63
    bags
    -0.60
     sack
    -0.60
    chnology
    -0.60
    walk
    -0.60
    SHIP
    -0.59
     Manitoba
    -0.58
    POSITIVE LOGITS
    nants
    1.20
    arkable
    1.14
    edy
    1.14
    ovable
    1.13
    oving
    1.10
    nant
    1.06
    ainer
    1.05
    ittance
    1.03
    ainers
    1.03
    uner
    1.00
    Activations Density 0.011%

    No Known Activations