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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. 20286
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    Explanations

    mentions or descriptions of individuals or things that are currently operational or in use

    oai_token-act-pair · gpt-3.5-turbo

    references to active duty military personnel

    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
    aneers
    -0.78
    aster
    -0.72
    esan
    -0.71
    ĸļ
    -0.71
    elf
    -0.71
    dylib
    -0.71
     Parables
    -0.70
    AMI
    -0.69
    unia
    -0.68
    yth
    -0.68
    POSITIVE LOGITS
     volcano
    0.98
     participation
    0.94
     ingredient
    0.94
     duty
    0.90
    ãĤ¿
    0.85
     volcan
    0.80
     participant
    0.80
    duty
    0.76
     shooter
    0.76
    wear
    0.76
    Activations Density 0.063%

    No Known Activations