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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. 1-RES-JB
    11. 554
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    Explanations

    references to the name "Ban" with a high activation value

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of the name "Ban."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ROR
    -0.72
    ORY
    -0.72
    çīĪ
    -0.70
    é»Ĵ
    -0.66
     Seah
    -0.66
    ACTED
    -0.65
     unfortunate
    -0.65
    ENGTH
    -0.65
    FORMATION
    -0.64
    OSP
    -0.64
    POSITIVE LOGITS
    anas
    1.11
    quet
    1.09
     Ban
    1.08
    undo
    1.03
    anan
    1.00
    Ban
    0.99
    aji
    0.98
    ban
    0.94
    avan
    0.93
    nery
    0.90
    Activations Density 0.007%

    No Known Activations