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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. 10-RES-JB
    11. 24526
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    Explanations

    mentions of specific areas or locations in a living room

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "living" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    NetMessage
    -0.82
    reg
    -0.77
    ģĸ
    -0.77
    aneers
    -0.75
    lain
    -0.73
    EStreamFrame
    -0.72
    cair
    -0.72
    EStream
    -0.66
    uning
    -0.66
    arl
    -0.65
    POSITIVE LOGITS
    lihood
    1.08
     wills
    0.96
     organism
    0.92
     quarters
    0.88
     room
    0.87
     organisms
    0.86
     Wage
    0.86
    liness
    0.85
     rooms
    0.85
     embodiment
    0.84
    Activations Density 0.025%

    No Known Activations