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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. 4-RES-JB
    11. 2050
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    Explanations

    references to real-world scenarios or applications

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "real world" versus "real life" contexts and experiences

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

    No Comments

    Negative Logits
    orate
    -0.77
    ategories
    -0.74
    onia
    -0.71
    emi
    -0.70
    awar
    -0.70
    xit
    -0.70
    atin
    -0.70
    ressed
    -0.68
    ressing
    -0.68
    inant
    -0.66
    POSITIVE LOGITS
    naissance
    0.84
     scenarios
    0.74
    ©¶æ
    0.71
     scenario
    0.70
     embodiment
    0.70
    reality
    0.69
     physics
    0.69
    âĶĢâĶĢâĶĢâĶĢ
    0.68
     Hitman
    0.67
    estate
    0.67
    Activations Density 0.041%

    No Known Activations