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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. 8-RES-JB
    11. 12273
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    INDEX
    Explanations

    phrases describing locations or scenes

    oai_token-act-pair · gpt-3.5-turbo

    references to locations and their surroundings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ohan
    -0.89
    loads
    -0.79
    utan
    -0.78
    olkien
    -0.74
    ocious
    -0.74
    hl
    -0.73
    eday
    -0.71
    urs
    -0.70
    amara
    -0.70
    lance
    -0.68
    POSITIVE LOGITS
     premises
    1.19
     apartment
    1.18
     courthouse
    1.16
     doors
    1.10
     offices
    1.04
     mansion
    1.03
     cafe
    1.02
     house
    1.01
     cabin
    1.00
     door
    1.00
    Activations Density 0.373%

    No Known Activations