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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. 4-RES-JB
    11. 8586
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    Explanations

    phrases related to being the best or most important

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to the concept of "ultimate" or final outcomes

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

    No Comments

    Negative Logits
    ker
    -0.81
    then
    -0.74
    bread
    -0.73
     Cells
    -0.71
     Cosponsors
    -0.70
     Oswald
    -0.68
    ep
    -0.68
    ijk
    -0.68
     Manz
    -0.68
    emet
    -0.67
    POSITIVE LOGITS
     gratification
    0.90
     embodiment
    0.90
     goal
    0.88
     culmination
    0.86
     pinnacle
    0.84
    ITY
    0.82
     showdown
    0.78
     solution
    0.77
     incarnation
    0.75
     outcome
    0.74
    Activations Density 0.011%

    No Known Activations