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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. 22725
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    Explanations

    locations within a building, specifically "room" areas

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "room" in various contexts

    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
    è¦ļéĨĴ
    -0.78
    alam
    -0.78
    iago
    -0.76
    schild
    -0.72
    abi
    -0.67
    irection
    -0.67
    olkien
    -0.67
    etheless
    -0.67
    haps
    -0.65
    pend
    -0.65
    POSITIVE LOGITS
     doors
    1.08
     attendants
    0.99
     floor
    0.94
     toilets
    0.93
     entrances
    0.91
     stalls
    0.87
     door
    0.85
     attendant
    0.85
     desks
    0.84
     entrance
    0.84
    Activations Density 0.090%

    No Known Activations