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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. 2510
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    INDEX
    Explanations

    mentions of geographical locations or regions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating widespread occurrence or distribution

    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
    nery
    -0.86
    IZ
    -0.66
    nas
    -0.66
    etic
    -0.60
    FORE
    -0.60
     ejac
    -0.59
    inse
    -0.58
     coincidence
    -0.57
    nel
    -0.57
     Penal
    -0.57
    POSITIVE LOGITS
    roads
    1.01
    ĨĴ
    0.99
    urst
    0.89
    cedented
    0.83
    atform
    0.82
    eatures
    0.80
    scl
    0.78
    arrow
    0.76
     platforms
    0.75
    artisan
    0.75
    Activations Density 0.024%

    No Known Activations