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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. 5407
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    Explanations

    people, actions, or attributes associated with a subsection of a larger group

    oai_token-act-pair · gpt-3.5-turbo

    phrases that identify and describe individuals and their actions or characteristics

    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
    Merit
    -0.64
    Ted
    -0.62
     roundup
    -0.61
     Annie
    -0.60
    Quantity
    -0.59
    Dialog
    -0.58
    Newsletter
    -0.58
    Lou
    -0.58
    Fran
    -0.58
     Bots
    -0.58
    POSITIVE LOGITS
    iris
    0.85
    mol
    0.79
     contemplate
    0.78
    rir
    0.77
     preceded
    0.76
     perceive
    0.74
    cients
    0.74
    ikk
    0.73
    pires
    0.73
     oppose
    0.72
    Activations Density 0.120%

    No Known Activations