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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. 1798
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    Explanations

    phrases related to educational institutions, science, and technology

    oai_token-act-pair · gpt-3.5-turbo

    mention of entities related to science and technology

    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
    PsyNetMessage
    -1.00
    arna
    -0.69
     Sabha
    -0.66
    essage
    -0.64
    cens
    -0.64
     divor
    -0.61
    icho
    -0.61
    dq
    -0.60
    successfully
    -0.60
     pregn
    -0.60
    POSITIVE LOGITS
     Engineers
    0.80
     nurture
    0.79
     Recreation
    0.75
     Mathematics
    0.74
    sylvania
    0.73
     Engineering
    0.72
     Flor
    0.71
    igham
    0.69
    ocene
    0.65
    ystem
    0.63
    Activations Density 0.235%

    No Known Activations