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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. 6-RES-JB
    6. 6497
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    INDEX
    Explanations

    words ending in "-om"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "om."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ++++++++++++++++
    -0.68
     Actual
    -0.64
    LIST
    -0.62
     nexus
    -0.60
    VO
    -0.60
     overpower
    -0.58
     pork
    -0.58
     compuls
    -0.58
     Veil
    -0.56
    actions
    -0.56
    POSITIVE LOGITS
    orrow
    1.14
    obile
    1.11
    puter
    1.11
    otive
    1.07
    atoes
    1.04
    edia
    1.04
    useum
    0.98
    essage
    0.97
    merce
    0.96
    psons
    0.96
    Activations Density 0.022%

    No Known Activations