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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. 2-RES-JB
    11. 12044
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    Explanations

    terms related to data flow processes and methods

    oai_token-act-pair · gpt-3.5-turbo

    terms related to workflows and their management

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     scratch
    -0.73
     biting
    -0.69
     ballpark
    -0.69
     tender
    -0.67
     molecule
    -0.67
     abduct
    -0.66
     lact
    -0.66
     comfort
    -0.66
     punch
    -0.65
     sock
    -0.65
    POSITIVE LOGITS
    dit
    0.95
    DragonMagazine
    0.91
    nces
    0.89
    tics
    0.87
    inces
    0.87
    cation
    0.86
    reach
    0.83
    racuse
    0.83
    ware
    0.81
    )=(
    0.81
    Activations Density 0.042%

    No Known Activations