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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. 8-RES-JB
    11. 506
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    Explanations

    phrases related to achieving a goal or reaching a destination

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the phrase "make it to."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    achy
    -0.62
     reins
    -0.61
    estic
    -0.60
    rent
    -0.59
     conducted
    -0.58
    worn
    -0.58
     variable
    -0.57
    Pattern
    -0.56
    rate
    -0.56
    Motion
    -0.56
    POSITIVE LOGITS
    ebin
    0.94
     adulthood
    0.91
     undet
    0.79
     orbit
    0.77
    odon
    0.74
     fruition
    0.73
    atown
    0.72
     civilisation
    0.70
    ogn
    0.69
    eming
    0.68
    Activations Density 0.110%

    No Known Activations