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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. 9-RES-JB
    11. 16318
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    Explanations

    phrases related to receiving, obtaining, or achieving

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the verb "get" and its various forms related to opportunities and chances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Principle
    -0.66
     fallacy
    -0.65
    alias
    -0.64
    velt
    -0.61
    Border
    -0.59
    method
    -0.57
     hypothesis
    -0.57
     Methods
    -0.57
     Tanz
    -0.55
    worthy
    -0.54
    POSITIVE LOGITS
     rid
    1.24
     bumped
    0.98
     hammered
    0.96
     rewarded
    0.93
     punished
    0.91
     sucked
    0.89
    tin
    0.88
     kicked
    0.87
     preferential
    0.87
     married
    0.86
    Activations Density 0.119%

    No Known Activations