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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 15651
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    Explanations

    locations or places mentioned within specific contexts, particularly whenever the text refers to official offices or embassies in different cities around the world

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "in."

    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
     classmates
    -0.74
     innoc
    -0.71
     drinkers
    -0.70
    platform
    -0.70
     bystanders
    -0.69
    Features
    -0.66
     glim
    -0.65
    ĺħ
    -0.63
     variables
    -0.63
     avail
    -0.63
    POSITIVE LOGITS
     lieu
    1.12
     conjunction
    1.10
    patient
    1.02
     Canberra
    1.01
     accordance
    0.98
    ked
    0.95
     Washington
    0.95
     Switzerland
    0.92
     Vienna
    0.91
     Guatemala
    0.90
    Activations Density 0.239%

    No Known Activations