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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. 8-RES-JB
    11. 1202
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    Explanations

    specific objects and actions in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to mechanisms, processes, and measures in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ighed
    -0.81
    Rh
    -0.77
    cale
    -0.76
    Southern
    -0.75
    thens
    -0.75
    ORN
    -0.74
    terday
    -0.74
    Ô
    -0.74
    UG
    -0.73
    EG
    -0.72
    POSITIVE LOGITS
     kit
    0.80
     assemblies
    0.79
     modifiers
    0.78
     protector
    0.78
     deck
    0.77
     chamber
    0.77
     modifier
    0.77
     cube
    0.76
     pad
    0.74
     pool
    0.74
    Activations Density 0.529%

    No Known Activations