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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. 6-RES-JB
    11. 19735
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    words related to enrollment in educational settings

    oai_token-act-pair · gpt-3.5-turbo

    terms related to enrollment in educational programs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    asta
    -0.63
     vengeance
    -0.61
    oeuv
    -0.61
     Wim
    -0.59
    wich
    -0.59
    esp
    -0.58
    pert
    -0.57
     edible
    -0.57
     ubiquitous
    -0.57
     mutated
    -0.57
    POSITIVE LOGITS
    uates
    1.21
    lees
    1.03
    rollment
    0.94
     enrollment
    0.84
    untarily
    0.78
    ments
    0.78
    uating
    0.76
    lee
    0.74
     enrolled
    0.74
     enrol
    0.74
    Activations Density 0.026%

    No Known Activations