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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. 7-RES-JB
    11. 2286
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    Explanations

    phrases related to causal relationships and consequences

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate causation or consequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soever
    -0.74
    ãĥ¼ãĤ¯
    -0.64
    é¾įå¥ij士
    -0.63
    æ©
    -0.62
    ITED
    -0.61
    Previous
    -0.61
     meanwhile
    -0.59
    inventoryQuantity
    -0.59
     Bowie
    -0.59
     Norn
    -0.58
    POSITIVE LOGITS
     downfall
    1.06
     resignation
    0.86
     demise
    0.86
     deterioration
    0.85
     meltdown
    0.84
     termination
    0.83
     seizure
    0.83
     conversion
    0.83
     breakdown
    0.82
     deaths
    0.80
    Activations Density 0.365%

    No Known Activations