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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
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    Explanations

    phrases related to events or gatherings

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Summit."

    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
    cedented
    -0.80
     scarce
    -0.79
    gettable
    -0.79
    effic
    -0.76
    ourke
    -0.74
    served
    -0.73
    enfranch
    -0.73
    gotten
    -0.71
    ousel
    -0.71
    lost
    -0.70
    POSITIVE LOGITS
     Summit
    1.43
     summit
    0.85
     Junction
    0.83
    ãĥ¼ãĥĨãĤ£
    0.78
     Cities
    0.76
     Cascade
    0.75
     Archdemon
    0.75
     Circle
    0.74
     Session
    0.74
     Ridge
    0.73
    Activations Density 0.001%

    No Known Activations