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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. 9-RES-JB
    6. 2224
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    Explanations

    words related to hotels and accommodations

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Nile
    -0.66
    ques
    -0.63
    ted
    -0.62
    gencies
    -0.62
    lda
    -0.61
    ngth
    -0.59
     caution
    -0.58
     Alz
    -0.58
    govtrack
    -0.58
    bered
    -0.58
    POSITIVE LOGITS
    ipeg
    1.68
    ovation
    1.36
    ikuman
    1.28
    osuke
    1.24
    spir
    1.23
    ocent
    1.22
    itus
    1.12
    igan
    1.11
    ett
    1.05
    ings
    1.03
    Activations Density 0.040%

    No Known Activations