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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. 7-RES-JB
    11. 9709
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    Explanations

    concepts related to education or financial matters, especially focused on the idea of 'principal'

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ï¸
    -0.84
    rider
    -0.71
    glass
    -0.70
    reens
    -0.68
     sockets
    -0.68
    erness
    -0.66
     brim
    -0.65
    ork
    -0.65
    ï¸ı
    -0.65
    bers
    -0.64
    POSITIVE LOGITS
    ities
    1.10
    ipal
    1.01
    essors
    0.84
    iate
    0.82
    ises
    0.80
     Investigator
    0.78
    ially
    0.76
    iary
    0.76
    inished
    0.75
    inguished
    0.75
    Activations Density 0.025%

    No Known Activations