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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. 6-RES-JB
    11. 17162
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    Explanations

    references to different types of rooms or spaces

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of rooms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uras
    -0.67
    pend
    -0.67
     DPR
    -0.66
    FIN
    -0.65
    alam
    -0.63
     Kickstarter
    -0.62
     Mother
    -0.61
    iago
    -0.60
    ARGET
    -0.60
    HER
    -0.60
    POSITIVE LOGITS
     doors
    0.96
    room
    0.95
    rooms
    0.87
     stalls
    0.87
     attendants
    0.81
     entrances
    0.79
     floors
    0.78
     floor
    0.76
     toilets
    0.76
    itory
    0.76
    Activations Density 0.028%

    No Known Activations