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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. 3-RES-JB
    11. 20878
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    INDEX
    Explanations

    references to physical facilities or amenities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of facilities

    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
    sson
    -0.75
    sen
    -0.74
    oner
    -0.67
    shoot
    -0.65
    sky
    -0.64
    allo
    -0.63
    jin
    -0.63
    ggles
    -0.63
    otos
    -0.61
    uscript
    -0.61
    POSITIVE LOGITS
     facilities
    1.04
    afety
    1.03
     Facilities
    0.88
     accommodations
    0.79
     arrangements
    0.77
    itutional
    0.77
    itutes
    0.76
     facility
    0.75
    ility
    0.74
     amenities
    0.73
    Activations Density 0.013%

    No Known Activations