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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. 1284
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    Explanations

    descriptions related to the nature of different subjects

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "nature" in various contexts

    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
    visors
    -0.76
    kers
    -0.75
    nuts
    -0.74
    rom
    -0.72
    ron
    -0.72
    ogun
    -0.71
    usters
    -0.69
    ware
    -0.69
    rican
    -0.68
    etts
    -0.68
    POSITIVE LOGITS
    uality
    0.83
     nature
    0.76
     disposition
    0.71
     incarn
    0.68
    CLASSIFIED
    0.68
    entially
    0.67
     advers
    0.65
     preserves
    0.64
    umbered
    0.62
     deterrence
    0.61
    Activations Density 0.010%

    No Known Activations