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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. 10621
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    Explanations

    phrases related to achieving maximum potential or optimization

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to achieving goals or maximizing potential

    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
    ilial
    -0.75
    aut
    -0.73
    overe
    -0.69
    oster
    -0.68
     Nanto
    -0.67
    rican
    -0.64
    avior
    -0.61
    archive
    -0.60
    izens
    -0.59
    ICA
    -0.59
    POSITIVE LOGITS
     mileage
    0.75
     Rid
    0.74
    OOL
    0.68
     bang
    0.67
     flu
    0.62
    xy
    0.62
     cheaply
    0.62
     taste
    0.61
     girlfriend
    0.61
     grips
    0.61
    Activations Density 0.291%

    No Known Activations