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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 2840
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    Explanations

    words related to accommodations or lodgings

    oai_token-act-pair · gpt-3.5-turbo

    terms related to accommodations and lodging

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ£
    -0.78
    £ı
    -0.75
     Sonny
    -0.73
     Nieto
    -0.69
    zyk
    -0.68
     hasht
    -0.65
     stump
    -0.64
    ãĥ©ãĥ³
    -0.63
    mbol
    -0.63
     resil
    -0.62
    POSITIVE LOGITS
    mates
    1.10
     accommodations
    1.08
     accommodation
    1.04
     quarters
    1.03
     apartments
    0.98
    mate
    0.96
     occupancy
    0.95
     rentals
    0.93
     rented
    0.93
     arrang
    0.92
    Activations Density 0.188%

    No Known Activations