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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. 0-RES-JB
    6. 39
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    INDEX
    Explanations

    phrases related to legal actions or accusations

    oai_token-act-pair · gpt-3.5-turbo

    the occurrences of a specific name or term related to important individuals or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Ath
    -0.65
     critical
    -0.63
     exc
    -0.61
     staged
    -0.60
     sub
    -0.60
     catalyst
    -0.59
    bul
    -0.58
     phased
    -0.58
     gut
    -0.58
     Nan
    -0.57
    POSITIVE LOGITS
    ords
    5.00
    ord
    2.31
    ording
    2.14
    ORD
    1.98
    irms
    1.29
    orders
    1.22
    orde
    1.19
    ridges
    1.13
    efficients
    1.10
    order
    1.05
    Activations Density 0.013%

    No Known Activations