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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. 3612
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    Explanations

    the word "ultimate" or variations of it

    oai_token-act-pair · gpt-3.5-turbo

    the word "ultimate" and its contextual use

    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
    ades
    -0.81
    ohn
    -0.80
    bars
    -0.79
    ospels
    -0.77
    vere
    -0.76
    ker
    -0.76
    ijk
    -0.75
    then
    -0.75
    ences
    -0.74
     Mub
    -0.72
    POSITIVE LOGITS
     gratification
    0.97
     embodiment
    0.97
     goal
    0.94
     prize
    0.87
     showdown
    0.86
     obstacle
    0.79
     culmination
    0.79
     irony
    0.79
     pinnacle
    0.77
     humiliation
    0.76
    Activations Density 0.045%

    No Known Activations