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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. 19619
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    Explanations

    phrases related to the arrangement or setup of components or devices

    oai_token-act-pair · gpt-3.5-turbo

    terms related to arrangements and configurations

    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
    arag
    -0.80
    cott
    -0.79
    houn
    -0.79
    obin
    -0.72
    cot
    -0.70
    ohan
    -0.68
    uli
    -0.68
    azines
    -0.68
    birth
    -0.67
    bara
    -0.66
    POSITIVE LOGITS
    eering
    1.16
    ally
    0.78
    alist
    0.78
     diagram
    0.78
    eers
    0.76
     diagrams
    0.73
     configurations
    0.71
     wizard
    0.68
     arrangement
    0.68
    ary
    0.67
    Activations Density 0.160%

    No Known Activations