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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. 2700
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    Explanations

    locations or states of being

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating presence and emotional states, particularly satisfaction and optimism about being in a certain location or situation

    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
    Disk
    -0.66
     Moz
    -0.61
     Sierra
    -0.60
    rouse
    -0.59
     Milton
    -0.58
    geries
    -0.58
     halt
    -0.57
     omin
    -0.57
     shortages
    -0.56
     flourish
    -0.55
    POSITIVE LOGITS
    âĺ
    1.03
     ðŁij
    0.96
    [/
    0.95
    ðŁij
    0.90
     gonna
    0.87
     ¯
    0.86
    *.
    0.82
     (@
    0.82
    ðŁ
    0.80
    âķ
    0.79
    Activations Density 0.256%

    No Known Activations