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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. 1214
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    Explanations

    phrases related to Indiana

    oai_token-act-pair · gpt-3.5-turbo

    references to specific entities, positions, or important elements in relation to Indiana and its events

    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
     shark
    -0.96
    Smith
    -0.88
     snipers
    -0.87
     sharks
    -0.87
     cat
    -0.85
    Hunt
    -0.84
     scient
    -0.84
     cats
    -0.83
     kittens
    -0.82
     Buk
    -0.79
    POSITIVE LOGITS
     Indiana
    1.90
    Indiana
    1.78
     Indy
    1.72
     Indianapolis
    1.58
     Pence
    1.39
     IU
    1.37
     Pacers
    1.32
     Purdue
    1.24
     Ho
    1.23
     Colts
    1.19
    Activations Density 0.366%

    No Known Activations