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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. 3-RES-JB
    11. 13157
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    Explanations

    references to undergraduate and graduate academic programs

    oai_token-act-pair · gpt-3.5-turbo

    references to undergraduate education

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ality
    -0.72
    aws
    -0.66
    acting
    -0.65
    roying
    -0.65
    hra
    -0.64
    axe
    -0.63
    pite
    -0.62
    placed
    -0.62
    place
    -0.61
    hare
    -0.60
    POSITIVE LOGITS
    uates
    1.40
     tuition
    0.96
     Phi
    0.85
     undergrad
    0.82
     students
    0.82
     student
    0.82
     undergraduate
    0.82
    graduate
    0.81
     freshmen
    0.77
     graduate
    0.76
    Activations Density 0.009%

    No Known Activations