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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. 10-RES-JB
    11. 21516
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    Explanations

    words related to specific groupings or categories of items or entities

    oai_token-act-pair · gpt-3.5-turbo

    words that contain the letters "et."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ¥ŀ
    -0.71
    SPONSORED
    -0.67
     absor
    -0.63
    FTWARE
    -0.61
    shown
    -0.59
    sbm
    -0.59
    Downloadha
    -0.58
     Asc
    -0.58
    EStreamFrame
    -0.57
    ĻĤ
    -0.56
    POSITIVE LOGITS
    roit
    1.14
    ted
    1.10
    ernal
    1.09
    rics
    1.09
    ropolis
    1.07
    rix
    1.01
    iquette
    1.01
    ty
    1.01
    tering
    1.00
    rov
    0.98
    Activations Density 0.052%

    No Known Activations